{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":43,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":43,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"75334a667931","filters":{"venue":"Advanced Theory and Simulations"}},"results":[{"id":"W2804191529","doi":"10.1002/adts.201800069","title":"A Bayesian Approach to Predict Solubility Parameters","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":88,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Canadian Institute for Advanced Research","funders":"Solar Technologies go Hybrid; Deutsche Forschungsgemeinschaft; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); U.S. Department of Energy","keywords":"Solubility; Bayesian probability; Miscibility; Computer science; Flexibility (engineering); Probabilistic logic; Set (abstract data type); Toolbox; Consistency (knowledge bases); Biological system; Algorithm; Chemistry; Artificial intelligence; Polymer; Statistical physics; Mathematics; Physics; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01138128140926511,"gpt":0.2823534430196564,"spread":0.2709721616103913,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152411,0.0001248855,0.0001488141,0.00005910561,0.0004701946,0.00009432302,0.0002248329,0.00004038611,0.0003393216],"category_scores_gemma":[0.0009834375,0.0001072631,0.00002193596,0.0002018272,0.0003913761,0.0003015247,0.0001137499,0.00006372958,0.00008570498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001832244,"about_ca_system_score_gemma":0.00002048491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000748389,"about_ca_topic_score_gemma":0.000005538031,"domain_scores_codex":[0.9985637,0.0003486647,0.0002079846,0.0004439715,0.0001586732,0.0002770096],"domain_scores_gemma":[0.9988863,0.0004480464,0.0000621424,0.0003902215,0.00006828678,0.0001449372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003768567,0.0001331745,0.002837271,0.00003271008,0.000006869341,8.205935e-7,0.003198931,0.4377194,0.4553052,0.09650259,0.00003521872,0.00385094],"study_design_scores_gemma":[0.001183969,0.000788892,0.01743008,0.00007209955,0.0000516622,0.00002208694,0.0005744068,0.4561987,0.1132509,0.4060814,0.003359921,0.0009858508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6649441,0.000007442867,0.331684,0.00005109404,0.0002122348,0.0002191338,0.00002238214,0.0001084773,0.002751203],"genre_scores_gemma":[0.9092359,4.756865e-7,0.09016788,0.000293041,0.00006257923,0.00002044996,0.000004786356,0.00001021451,0.0002046662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3420543,"threshold_uncertainty_score":0.4374063,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2896842142","doi":"10.1002/adts.201800103","title":"Superior Sensing Properties of Black Phosphorus as Gas Sensors: A Case Study on the Volatile Organic Compounds","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"2D Materials and Applications","field":"Materials Science","cited_by":84,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; McGill University","funders":"Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Monolayer; Chemistry; Adsorption; Hexane; Toluene; Acetone; Volatile organic compound; Analytical Chemistry (journal); Chemical engineering; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.02216678620636897,"gpt":0.2770648172498065,"spread":0.2548980310434376,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003662444,0.0001223637,0.0001613312,0.00002832281,0.0006090607,0.00006602443,0.00008145934,0.00002847962,0.000408388],"category_scores_gemma":[0.0002223662,0.00007961614,0.00002163555,0.0001346669,0.0004230396,0.0001245879,0.00005727222,0.00004931698,0.00009344651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001197477,"about_ca_system_score_gemma":0.00002664797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000339149,"about_ca_topic_score_gemma":0.00003778446,"domain_scores_codex":[0.9990717,0.0002186231,0.0002406733,0.0002190711,0.0001036294,0.0001462709],"domain_scores_gemma":[0.998932,0.0004037385,0.00008857341,0.0003584231,0.0001777008,0.00003956347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001298409,0.0001115174,0.0000580635,0.000005954898,0.00001004395,0.000008680122,0.006583978,0.0005644629,0.9844776,0.007871444,0.000005859061,0.0001725124],"study_design_scores_gemma":[0.000535285,0.0004121826,0.0001691361,0.00005438676,0.00005434017,0.00009453504,0.01880009,0.002691751,0.9590402,0.01762433,0.0003274126,0.0001963143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987066,0.00002628135,0.0002073085,0.00009408008,0.0001024197,0.0005528757,0.00002679214,0.00004875251,0.000234869],"genre_scores_gemma":[0.9994916,0.000002852147,0.0001821726,0.00008150301,0.00007197198,0.000009288724,0.000001500741,0.00001631324,0.0001428057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0254374,"threshold_uncertainty_score":0.4684465,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213284995","doi":"10.1002/adts.202100604","title":"Ultra‐Wideband, Polarization‐Independent, Wide‐Angle Multilayer Swastika‐Shaped Metamaterial Solar Energy Absorber with Absorption Prediction using Machine Learning","year":2022,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Absorptance; Optics; Wideband; Polarization (electrochemistry); Materials science; Absorption (acoustics); Optoelectronics; Physics; Chemistry; Reflectivity","retraction":null,"screen_n_in":null,"score":{"opus":0.01279559671599568,"gpt":0.2410437740033652,"spread":0.2282481772873695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008370525,0.0002387934,0.0002894506,0.0001287782,0.00177992,0.0001300668,0.0001498604,0.00006194258,0.002234816],"category_scores_gemma":[0.0001166681,0.0002150013,0.00005039274,0.0002645881,0.0000876682,0.0006092218,0.00009084756,0.0001517118,0.000009830082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006207315,"about_ca_system_score_gemma":0.00004278946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001003449,"about_ca_topic_score_gemma":0.00004656992,"domain_scores_codex":[0.9977837,0.0006557631,0.0004372791,0.0004894598,0.0003346923,0.0002990888],"domain_scores_gemma":[0.9988626,0.000322414,0.0003122443,0.0002871722,0.0001101318,0.0001054075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003057609,0.00005691567,0.001001503,0.000007818399,0.00002285654,0.000001061786,0.0001806948,0.3185181,0.672489,0.007298423,7.20221e-7,0.0001171671],"study_design_scores_gemma":[0.003994214,0.0003888141,0.001702569,0.00003738708,0.0005292359,0.00008211983,0.0006137883,0.1392676,0.8252882,0.01526373,0.01197515,0.0008571802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8238372,0.0001879765,0.1747103,0.00002298367,0.0002953116,0.000301929,0.0004576597,0.0001350482,0.00005161321],"genre_scores_gemma":[0.994251,0.00002787796,0.004320754,0.0001011037,0.00007428382,0.0001021032,0.0005018501,0.00004888912,0.0005721751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1792505,"threshold_uncertainty_score":0.9995196,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2805054592","doi":"10.1002/adts.201800034","title":"Curvature‐Induced Sorting of Lipids in Plasma Membrane Tethers","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Alberta Innovates; Alberta Innovates - Technology Futures; Western Canada Research Grid; Compute Canada","keywords":"Membrane; Lipid bilayer; Curvature; Membrane curvature; Bilayer; Biophysics; Elasticity of cell membranes; Lipid bilayer phase behavior; Chemistry; Lipid bilayer mechanics; Model lipid bilayer; Sorting; Chemical physics; Softening; Materials science; Biology; Geometry; Biochemistry; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.009545511873697008,"gpt":0.2855591287776944,"spread":0.2760136169039974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001792206,0.00009526239,0.0001160278,0.00004531674,0.0000822452,0.000004729058,0.00006563993,0.00009785555,0.00003446285],"category_scores_gemma":[0.0001981232,0.00008483842,0.00003278067,0.0001040982,0.0001074679,0.000009103297,0.00003204082,0.00008414847,8.926352e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003193839,"about_ca_system_score_gemma":0.00002110245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002016387,"about_ca_topic_score_gemma":0.00004654438,"domain_scores_codex":[0.9993615,0.0000835927,0.000181435,0.0001891752,0.00005050198,0.0001337984],"domain_scores_gemma":[0.9995866,0.00007591752,0.00006781971,0.0001806063,0.00005396995,0.00003508216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001764855,0.00002092166,0.00209925,0.000009341225,0.00001234598,3.186382e-7,0.00023042,0.0007069104,0.9879246,0.003070786,0.000001028464,0.005747532],"study_design_scores_gemma":[0.0007304166,0.0001568775,0.002517259,0.00001799012,0.00001880551,0.000002779937,0.0001925127,0.0001473456,0.9936903,0.001593885,0.0008108953,0.0001210078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984162,0.00003897035,0.0001719487,0.0000185049,0.0001387023,0.000115241,0.00001127155,0.00000734186,0.001081768],"genre_scores_gemma":[0.9990863,0.000009989893,0.0004678084,0.00007149648,0.0001602549,0.00000393405,0.00002927851,0.000011537,0.0001594514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005765564,"threshold_uncertainty_score":0.345961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400454494","doi":"10.1002/adts.202400438","title":"Electronic Performance and Schottky Contact of 2D GeH/InSe and GeH/In<sub>2</sub>Se<sub>3</sub> Heterostructures: Strain Engineering and Electric Field Tunability","year":2024,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"2D Materials and Applications","field":"Materials Science","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Heterojunction; Materials science; Electric field; Strain (injury); Optoelectronics; Schottky barrier; Schottky diode; Condensed matter physics; Engineering physics; Physics; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.004041373698291176,"gpt":0.229738656851384,"spread":0.2256972831530928,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003909122,0.0001797383,0.0002361603,0.0001069,0.0001601111,0.00009772768,0.0000610173,0.00008288833,0.00001217388],"category_scores_gemma":[0.0001183248,0.0001663948,0.00002139742,0.0001751013,0.00006008569,0.0004060416,0.00004860014,0.0001588661,0.000001092169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002681676,"about_ca_system_score_gemma":0.00003847606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003964027,"about_ca_topic_score_gemma":0.0000217455,"domain_scores_codex":[0.9988894,0.00006822063,0.0002944856,0.0003813127,0.00008032742,0.0002862712],"domain_scores_gemma":[0.9990105,0.0006425902,0.00005717159,0.0001827424,0.00003110726,0.00007590259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007552946,0.00001468965,0.0002526049,0.0001771417,0.000007956766,8.786031e-7,0.0002456458,0.002590893,0.9720622,0.01553118,5.752302e-7,0.009040654],"study_design_scores_gemma":[0.0004381339,0.0001747137,0.01478803,0.00009779481,0.00002981531,0.00001695745,0.00004145898,0.01318228,0.9423075,0.02862006,0.0000827972,0.000220404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965017,0.001712237,0.00118712,0.00004076156,0.00006746276,0.0003421161,0.0000776118,0.00005880754,0.0000121764],"genre_scores_gemma":[0.9988393,0.0008903143,0.0001432137,0.00003377499,0.00002986218,0.0000344107,0.000009990669,0.00001677835,0.000002325866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0297547,"threshold_uncertainty_score":0.6785381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2967621950","doi":"10.1002/adts.201900123","title":"Toroidal Dipole Resonances in All‐Dielectric Oligomer Metasurfaces","year":2019,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Toroid; Dipole; Multipole expansion; Dielectric; Physics; Electromagnetic field; Polarization (electrochemistry); Plasmon; Materials science; Optics; Optoelectronics; Chemistry; Plasma; Quantum mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.01402316556384869,"gpt":0.2858682792527981,"spread":0.2718451136889494,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007016353,0.0001316808,0.0002440757,0.00007011225,0.000123289,0.00005194009,0.0001354621,0.00004790947,0.001192663],"category_scores_gemma":[0.00009065813,0.0001112266,0.00003000669,0.0002173124,0.00005905614,0.0003708024,0.00004088432,0.00006286644,0.0002579809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001630011,"about_ca_system_score_gemma":0.00001871538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002129945,"about_ca_topic_score_gemma":0.00003507632,"domain_scores_codex":[0.9988096,0.0002093593,0.0002831014,0.0003208004,0.0001243245,0.0002527926],"domain_scores_gemma":[0.9990502,0.0004833964,0.00009720472,0.0002769193,0.00003443919,0.00005782532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005936924,0.0000348642,0.0009200924,0.00001087034,0.000006525859,3.700195e-7,0.0001727077,0.02188993,0.8713886,0.1044793,0.000004164831,0.001033138],"study_design_scores_gemma":[0.001822323,0.0001543716,0.01586187,0.00005225817,0.00008552687,0.000005027832,0.000395217,0.006005685,0.7211689,0.1736842,0.08006135,0.0007033038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949121,0.002476399,0.0003171109,0.00007498424,0.0001785413,0.0003562366,0.00004874911,0.00004639413,0.001589459],"genre_scores_gemma":[0.995481,0.0001845565,0.003151478,0.0001252398,0.00001504738,0.00003445653,0.00001510839,0.00001258833,0.0009804912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1502198,"threshold_uncertainty_score":0.9997204,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2899686615","doi":"10.1002/adts.201800106","title":"Comparative Analysis of Protein Hydration from MD simulations with Additive and Polarizable Force Fields","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions; Compute Canada","keywords":"Polarizability; Solvation; Water model; Chemical physics; Hydrogen bond; Chemistry; Molecular dynamics; Computational chemistry; Dipole; Drude model; Force field (fiction); Ion; Physics; Molecule; Organic chemistry; Quantum mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.004828445281351096,"gpt":0.2612227181077875,"spread":0.2563942728264365,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004238687,0.00008924628,0.0001477945,0.00005742905,0.000158043,0.00001139941,0.00003531403,0.00007118267,0.00003277986],"category_scores_gemma":[0.00004831102,0.00007618016,0.00002383176,0.0001828314,0.0001762062,0.00001919956,0.00002709276,0.00004246027,1.817055e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003198403,"about_ca_system_score_gemma":0.00001765211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001393517,"about_ca_topic_score_gemma":0.0005477831,"domain_scores_codex":[0.9994966,0.00006381108,0.0001185288,0.0001938301,0.00004898899,0.00007827055],"domain_scores_gemma":[0.9995,0.0001034334,0.00008184237,0.0001590195,0.0001225884,0.00003311371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001379805,0.00006922766,0.005459689,0.000009435861,0.001512091,5.854096e-7,0.001952161,0.2116859,0.7138152,0.06006247,0.000004481408,0.004048903],"study_design_scores_gemma":[0.002307203,0.001607731,0.02151416,0.00005727043,0.001323028,0.000001729006,0.0008919042,0.2826535,0.5203468,0.1670671,0.001562033,0.0006675208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8651221,0.0001793881,0.1336064,0.00001048513,0.000007862428,0.000199136,0.0004564528,0.000005460841,0.0004126829],"genre_scores_gemma":[0.9951638,0.000009107809,0.003781016,0.00005220623,0.00003370587,0.000007396927,0.0008394607,0.00000457551,0.0001087548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1934684,"threshold_uncertainty_score":0.3106537,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405512883","doi":"10.1002/adts.202401016","title":"A Comprehensive Review of the Pseudo‐Two‐Dimensional (P2D) Model: Model Development, Solutions Methods, and Applications","year":2024,"lang":"en","type":"review","venue":"Advanced Theory and Simulations","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Zhejiang Normal University; Chinese Academy of Sciences","keywords":"Development (topology); Systems engineering; Computer science; Management science; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.06999209474621101,"gpt":0.4140060462818997,"spread":0.3440139515356887,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003218556,0.0003742585,0.0008303357,0.0001965351,0.0003153681,0.00001582,0.0003029732,0.0001583729,0.000008499186],"category_scores_gemma":[0.000134024,0.0002689169,0.0001607929,0.0006138248,0.0003046601,0.0001371762,0.0004751041,0.0006366181,0.000005232248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008638489,"about_ca_system_score_gemma":0.0001507851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.097234e-7,"about_ca_topic_score_gemma":7.992865e-7,"domain_scores_codex":[0.9983432,0.0001858985,0.0006270451,0.0003917957,0.0001631089,0.000288973],"domain_scores_gemma":[0.9979481,0.001127158,0.0001177923,0.0006201406,0.0001222953,0.00006458372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001016307,0.000008665117,3.743583e-8,0.02492763,0.0001050662,2.053983e-7,0.00001913532,0.4264711,0.00002162017,0.03892388,0.00002805497,0.5094936],"study_design_scores_gemma":[0.0001046047,0.000004603032,1.228123e-7,0.0164648,0.0005160568,0.00001875688,0.00001070123,0.4523383,0.0000126448,0.1512063,0.3789653,0.0003578251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003093641,0.72804,0.2703109,0.00001852156,0.00003193482,0.001081589,0.0001898563,0.0001794698,0.0001446568],"genre_scores_gemma":[0.0001005085,0.9245021,0.07443536,0.00004799619,0.00001173142,0.0005723314,0.00007634383,0.00006735393,0.0001862141],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5091358,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3214701572","doi":"10.1002/adts.202100244","title":"Polaron in TiO<sub>2</sub> from First‐Principles: A Review","year":2021,"lang":"en","type":"review","venue":"Advanced Theory and Simulations","topic":"Electronic and Structural Properties of Oxides","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Polytechnique Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"","keywords":"Polaron; Ab initio; Charge carrier; Semiconductor; Phonon; Condensed matter physics; Electron; Ab initio quantum chemistry methods; Materials science; Chemical physics; Physics; Quantum mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.02910908552643002,"gpt":0.3047151350392925,"spread":0.2756060495128625,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004099155,0.0003384656,0.001201453,0.00006684666,0.0002223847,0.00005204204,0.0002353481,0.0001578368,0.0002492398],"category_scores_gemma":[0.0008082545,0.0002595577,0.0001835724,0.0002290915,0.0001087898,0.0002916188,0.0001299369,0.0003112188,0.00004589835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001065301,"about_ca_system_score_gemma":0.0001917163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008642851,"about_ca_topic_score_gemma":0.00007913628,"domain_scores_codex":[0.9978569,0.0005114642,0.000643654,0.0005310199,0.0001388306,0.0003181566],"domain_scores_gemma":[0.9980539,0.001121382,0.0002391331,0.0004436887,0.00004735998,0.00009450739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002595771,0.00004220309,0.000003532047,0.01347624,0.00006649757,0.0000240358,0.0001507397,0.00194958,0.001192746,0.0402782,0.00002777453,0.9427625],"study_design_scores_gemma":[0.0002949145,0.00004428892,0.000008076752,0.07050186,0.0004618799,0.00001541265,0.00002985509,0.00007099221,0.0004931875,0.02067451,0.906693,0.0007119779],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005249761,0.9936479,0.00008270134,0.00004518178,0.0001306365,0.0005554733,0.0001228184,0.00004620107,0.0001193728],"genre_scores_gemma":[0.007058667,0.9920763,0.0002278272,0.0001743327,0.00005932197,0.00005291877,0.0002286543,0.00003140443,0.00009062387],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9420505,"threshold_uncertainty_score":0.9999856,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226227507","doi":"10.1002/adts.202100400","title":"Electronic Structure, Bonding, and Stability of Boron Subphthalocyanine Halides and Pseudohalides","year":2022,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Compute Canada","keywords":"Boron; Halide; Moiety; Substituent; Density functional theory; Atomic orbital; Molecule; Chemistry; Molecular orbital; Substitution (logic); Derivative (finance); Ring (chemistry); Computational chemistry; Structural stability; Materials science; Inorganic chemistry; Organic chemistry; Structural engineering; Physics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.005336432072581298,"gpt":0.2247457585014068,"spread":0.2194093264288255,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001384255,0.00008686954,0.0001247211,0.00003590961,0.0002136522,0.00001455157,0.00003630144,0.00001923151,0.0001441476],"category_scores_gemma":[0.00002192655,0.00008863612,0.00001112485,0.00008201749,0.00007081001,0.0001051154,0.00004481044,0.00007474348,7.23442e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001854339,"about_ca_system_score_gemma":0.000006299415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000400187,"about_ca_topic_score_gemma":0.00001532811,"domain_scores_codex":[0.9995047,0.00004877379,0.0001438225,0.0001312415,0.00004850414,0.0001229312],"domain_scores_gemma":[0.9996092,0.0001934727,0.00002937315,0.0001210899,0.00001360942,0.00003319902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004317395,0.00002246367,0.005284362,0.00007792614,0.00003121555,3.370882e-7,0.0006253445,0.04074537,0.471522,0.4798167,0.000003805763,0.001827269],"study_design_scores_gemma":[0.001293993,0.0002173684,0.03809418,0.00002020105,0.0001002811,0.0000427236,0.001088756,0.02397334,0.1093975,0.8171718,0.008058199,0.0005416956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972606,0.001308198,0.0007893064,0.00002336321,0.00002397309,0.0001371609,0.0002763427,0.00004992094,0.0001311116],"genre_scores_gemma":[0.9995735,0.00007349432,0.0002456091,0.0000117229,0.00001012317,0.00001765214,0.0000387759,0.00001251082,0.00001664955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3621245,"threshold_uncertainty_score":0.3614476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2964206245","doi":"10.1002/adts.201800100","title":"Thermoplasmonic Response of Semiconductor Nanoparticles: A Comparison with Metals","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Thermal Radiation and Cooling Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Academy of Finland","keywords":"Drude model; Materials science; Semiconductor; Nanoparticle; Plasmon; Permittivity; Optoelectronics; Scattering; Blueshift; Condensed matter physics; Dielectric; Chemical physics; Nanotechnology; Optics; Chemistry; Physics; Photoluminescence","retraction":null,"screen_n_in":null,"score":{"opus":0.01121126875695994,"gpt":0.2577808417527053,"spread":0.2465695729957453,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001274915,0.00006652834,0.0001033666,0.00004993518,0.0000581104,0.000006321825,0.00005302206,0.00003074206,0.00004532271],"category_scores_gemma":[0.00009154059,0.000053602,0.00001233098,0.0001284402,0.0001442651,0.0001020426,0.00000939717,0.00004571663,0.000004841669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007896827,"about_ca_system_score_gemma":0.000006753412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.927272e-7,"about_ca_topic_score_gemma":0.00000323779,"domain_scores_codex":[0.9996344,0.0000500532,0.0001177292,0.00007040918,0.00004051149,0.00008689647],"domain_scores_gemma":[0.9993998,0.0003737411,0.00002821083,0.000145953,0.00003159654,0.00002067279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009258187,0.00002389609,0.0005475082,0.00001132745,0.00006451276,4.774943e-7,0.001591045,0.3605653,0.5854641,0.04582072,0.000005365522,0.004979849],"study_design_scores_gemma":[0.0008535548,0.0003125391,0.005173949,0.00004341819,0.00004336401,0.00000375654,0.001202851,0.1199061,0.8468224,0.02446187,0.0009576498,0.0002185755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994312,0.0003523871,0.004808478,0.0000146888,0.00003025546,0.00007299474,0.0000102847,0.0002387445,0.0001601546],"genre_scores_gemma":[0.9988639,0.00001075465,0.001050501,0.00001311936,0.000005851502,0.000004925401,0.000001156155,0.00001081127,0.00003896215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2613582,"threshold_uncertainty_score":0.2185826,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2792800829","doi":"10.1002/adts.201700020","title":"Energy Level Alignment at Interfaces Between Au (111) and Thiolated Oligophenylenes of Increasing Chain Size: Theoretical Evidence of Pinning Effects","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Institute for Nanotechnology","funders":"Fonds De La Recherche Scientifique - FNRS; European Commission","keywords":"Chemisorption; Density functional theory; Monolayer; Condensed matter physics; Fermi level; Electrode; Polarization (electrochemistry); Non-equilibrium thermodynamics; Materials science; Formalism (music); Chemical physics; Chemistry; Nanotechnology; Physics; Computational chemistry; Adsorption; Physical chemistry; Thermodynamics; Quantum mechanics; Electron","retraction":null,"screen_n_in":null,"score":{"opus":0.00883949506483351,"gpt":0.2496586902362049,"spread":0.2408191951713714,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002197839,0.0001168839,0.0001902672,0.00005925097,0.0001291206,0.000006733577,0.00004957359,0.00006040369,0.00002184389],"category_scores_gemma":[0.0002863372,0.0001018756,0.00002339833,0.0001113591,0.0002545841,0.00009821205,0.00005776302,0.00004677196,1.90641e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002072285,"about_ca_system_score_gemma":0.000007525111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001393094,"about_ca_topic_score_gemma":0.000009523171,"domain_scores_codex":[0.9993144,0.0001507104,0.0002046867,0.0001323521,0.00007401007,0.0001238678],"domain_scores_gemma":[0.997719,0.002002216,0.00004985095,0.0001375213,0.00004456476,0.00004683562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002905971,0.00001010404,0.003375107,0.0001747492,0.0001275998,8.330935e-7,0.001184128,0.02026476,0.807599,0.1497888,8.975192e-7,0.0171834],"study_design_scores_gemma":[0.0005191567,0.0002835724,0.01805806,0.0006062097,0.00009980676,0.000005463291,0.00008043522,0.01712067,0.8851553,0.07781584,0.00004729066,0.0002081866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9468929,0.001219801,0.05157741,0.000009688469,0.00006364821,0.00007973857,0.00001077027,0.00002930744,0.0001167557],"genre_scores_gemma":[0.9984833,0.0000817611,0.00135772,0.0000140574,0.00003323702,0.000003084155,0.00000272656,0.00001398119,0.00001015393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07755628,"threshold_uncertainty_score":0.4154366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4309491849","doi":"10.1002/adts.202200704","title":"Toward an Improved Understanding for Design of Material Extrusion Additive Manufacturing Process‐Based 3D Printers—a Computational Study","year":2022,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Nozzle; 3D printing; Process (computing); Mechanical engineering; Extrusion; Computer science; Consistency (knowledge bases); Field (mathematics); Engineering drawing; Manufacturing engineering; Process engineering; Engineering; Materials science; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03934081982915987,"gpt":0.2794388430131797,"spread":0.2400980231840198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002387063,0.0001241433,0.0001413454,0.0001217988,0.0003437715,0.00001781527,0.0001013062,0.00002614605,0.00007176949],"category_scores_gemma":[0.00005513081,0.0001298525,0.0000239054,0.00005403294,0.00005000739,0.0001386189,0.00005530917,0.0001050727,8.013157e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006829457,"about_ca_system_score_gemma":0.00001265074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.175726e-7,"about_ca_topic_score_gemma":5.679795e-7,"domain_scores_codex":[0.9993153,0.00009077668,0.000185267,0.000187279,0.00008541435,0.0001359574],"domain_scores_gemma":[0.9991019,0.0006761124,0.00006539661,0.0001081037,0.00002554856,0.00002292912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003048142,0.00006319857,0.00001451913,0.0000360346,0.00003345734,8.07877e-7,0.0009746989,0.9899004,0.001082958,0.002700531,6.157908e-7,0.004888004],"study_design_scores_gemma":[0.001189936,0.0005315175,0.0002599292,0.00001953749,0.00003317713,0.000001444432,0.008135929,0.7723663,0.05426549,0.162945,0.00002845598,0.0002232398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4596317,0.00000371231,0.5394862,0.0000037855,0.00005852519,0.0004249521,0.0001783933,0.0001958147,0.00001690401],"genre_scores_gemma":[0.9867901,5.831122e-7,0.01292967,0.000006889059,0.00001358235,0.0001318475,0.00009897329,0.00002353739,0.000004881251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5271583,"threshold_uncertainty_score":0.5295233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2906022401","doi":"10.1002/adts.201800144","title":"Polymerization Data Mining: A Perspective","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Advanced Polymer Synthesis and Characterization","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Perspective (graphical); Polymerization; Characterization (materials science); Field (mathematics); Data science; Nanotechnology; Systems engineering; Polymer; Artificial intelligence; Materials science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02035644286350695,"gpt":0.3056718272111196,"spread":0.2853153843476127,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006996792,0.0001164441,0.0001067166,0.00003965434,0.0003187327,0.00002790065,0.0001511984,0.0000531864,0.0007222922],"category_scores_gemma":[0.0002920152,0.0001153909,0.00001523886,0.0001210143,0.000161834,0.0005297997,0.00008949432,0.00005067111,0.000004631029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001603634,"about_ca_system_score_gemma":0.00001875661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001606943,"about_ca_topic_score_gemma":0.000005894055,"domain_scores_codex":[0.9992568,0.00003368349,0.0001532503,0.0003344892,0.00007805292,0.0001437327],"domain_scores_gemma":[0.9989851,0.0002996659,0.00008985391,0.000490201,0.00007928846,0.00005589488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003829889,0.0001200809,0.001759687,0.00002095678,0.00008470476,0.000001818881,0.004150776,0.0002500571,0.5365481,0.3253204,0.00001147762,0.131349],"study_design_scores_gemma":[0.003276111,0.0002015768,0.002569633,0.0002953147,0.0003585295,0.00003554707,0.01890703,0.09013583,0.6957679,0.1424125,0.0441478,0.001892128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8809475,0.0007575624,0.0910024,0.00023705,0.000167,0.0001004033,0.0004298225,0.0002212647,0.02613697],"genre_scores_gemma":[0.9965609,0.00002900746,0.001430834,0.0001121295,0.00024347,0.000004603441,0.0002928244,0.00002100497,0.001305272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1829078,"threshold_uncertainty_score":0.7908593,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911680215","doi":"10.1002/adts.201800188","title":"Self‐Consistent Field Theory of Inhomogeneous Polymeric Systems: A Variational Derivation","year":2019,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Block Copolymer Self-Assembly","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field (mathematics); Field theory (psychology); Field equation; Copolymer; Polymer; Physics; Classical mechanics; Mathematics; Mathematical physics","retraction":null,"screen_n_in":null,"score":{"opus":0.005858731034334069,"gpt":0.2271474291821666,"spread":0.2212886981478326,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004210885,0.0001308667,0.0002085092,0.00009083835,0.0001451446,0.00003072575,0.0001205466,0.00007400033,0.0003034865],"category_scores_gemma":[0.000163858,0.0001233112,0.00004203546,0.0001754857,0.00004151279,0.0002741847,0.00005496671,0.00006037444,0.00003441502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002352041,"about_ca_system_score_gemma":0.00006643595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006336894,"about_ca_topic_score_gemma":0.000001993558,"domain_scores_codex":[0.9987373,0.0003233987,0.0003344623,0.0002559072,0.0001773206,0.0001716009],"domain_scores_gemma":[0.9974527,0.001889615,0.0001960059,0.00030474,0.0001043365,0.00005259777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001624468,0.00007472197,0.0008143483,0.00006051317,0.00003329762,8.534578e-7,0.0005887562,0.02292292,0.3628884,0.6113048,0.000001578536,0.001147331],"study_design_scores_gemma":[0.003825318,0.001037663,0.005406453,0.0002814772,0.0003626871,0.00009515822,0.002314312,0.0609626,0.6917509,0.2314779,0.001229696,0.00125574],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635407,0.001207039,0.03313214,0.00004608711,0.0004421321,0.0003628253,0.00003497804,0.00009274117,0.001141401],"genre_scores_gemma":[0.9973535,0.0000123393,0.002133965,0.0001437466,0.00003780238,0.00001846411,0.00001347581,0.00001465341,0.0002720443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3798269,"threshold_uncertainty_score":0.5028484,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898128626","doi":"10.1002/adts.201800124","title":"Simulation Assisted Nanoscale Imaging of Single Live Cells with Scanning Electrochemical Microscopy","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scanning electrochemical microscopy; Characterization (materials science); Nanoscopic scale; Nanotechnology; Materials science; Live cell imaging; Microscopy; Electrode; Scanning ion-conductance microscopy; Electrochemistry; Optics; Chemistry; Cell; Scanning confocal electron microscopy; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.005542032033906852,"gpt":0.2604350435626476,"spread":0.2548930115287408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000634527,0.0001385361,0.0001798281,0.00004190655,0.0002352455,0.00002072693,0.00008741704,0.00005390422,0.0001619414],"category_scores_gemma":[0.00007135145,0.0001227217,0.00004819673,0.0002349854,0.0002620188,0.0001274924,0.00002637477,0.0001052041,0.000004715663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002990738,"about_ca_system_score_gemma":0.00001827495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001783078,"about_ca_topic_score_gemma":0.000004824455,"domain_scores_codex":[0.9991471,0.00002147131,0.0002416497,0.0002810523,0.0001044458,0.0002043528],"domain_scores_gemma":[0.9987606,0.0006738041,0.0001105586,0.0002216072,0.0001668697,0.00006656299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001290308,0.0001032582,0.0007205108,0.00001620839,0.00003292401,2.041098e-7,0.0001714708,0.006383694,0.9898687,0.001500514,0.000001412394,0.001072076],"study_design_scores_gemma":[0.0003562623,0.00003832841,0.00004928179,0.0000570568,0.00007951717,0.00000153851,0.000117114,0.03305335,0.9598678,0.005962715,0.0002640467,0.0001529659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437839,0.000138968,0.05465235,0.00002806263,0.000005683338,0.0000588652,0.00001495339,0.00005184316,0.001265398],"genre_scores_gemma":[0.9953172,0.000003631948,0.004248039,0.00005404255,0.00005778062,0.000008896318,0.00006068273,0.00001850189,0.0002311957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05153335,"threshold_uncertainty_score":0.5004444,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2799474467","doi":"10.1002/adts.201800021","title":"Electrochemical–Thermal Evaluation of an Integrated Thermal Management System for Lithium‐Ion Battery Modules","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Ontario Trillium Foundation","keywords":"Materials science; Phase-change material; Thermal conductivity; Thermal energy storage; Lithium-ion battery; Computer cooling; Battery (electricity); Graphite; Thermal; Nuclear engineering; Pyrolytic carbon; Active cooling; Water cooling; Composite material; Chemical engineering; Thermodynamics; Mechanical engineering; Thermal management of electronic devices and systems","retraction":null,"screen_n_in":null,"score":{"opus":0.01588025861943059,"gpt":0.2964047041916565,"spread":0.2805244455722259,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004490602,0.000126927,0.0001355858,0.0001280465,0.0001144108,0.00001273561,0.0001378071,0.00007600038,0.00002595368],"category_scores_gemma":[0.00008291259,0.0001175055,0.0000266782,0.0001810314,0.0001248236,0.0002845897,0.00003268242,0.00009708168,0.000002307061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009033438,"about_ca_system_score_gemma":0.000006753497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.465128e-7,"about_ca_topic_score_gemma":0.000001962308,"domain_scores_codex":[0.9991264,0.00009573699,0.0002065612,0.0001898261,0.0001657924,0.0002156592],"domain_scores_gemma":[0.9991774,0.0002308778,0.0000388697,0.000297212,0.0002225222,0.00003310081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001736422,0.00002647076,0.00002474277,0.0001085522,0.00006116654,2.683834e-7,0.000118692,0.3433433,0.4685393,0.01213204,0.000001334852,0.1754705],"study_design_scores_gemma":[0.0007437681,0.0001253534,0.0004205792,0.00006323095,0.0000454232,0.00000117646,0.000495524,0.6003439,0.3825923,0.01483529,0.0001883386,0.000145088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7091481,0.00008559698,0.2895055,0.000007245068,0.00005831278,0.0004597261,0.00002115969,0.0002332896,0.0004810329],"genre_scores_gemma":[0.9860639,0.000006595949,0.01364195,0.000007236101,0.00004189856,0.0001188918,0.00006357915,0.00002766855,0.00002825946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2769158,"threshold_uncertainty_score":0.4791734,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4300717096","doi":"10.1002/adts.202200339","title":"Surface Bending Resistance in Architected Nanoporous Metallic Materials","year":2022,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Nanoporous metals and alloys","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Materials science; Stiffness; Nanoporous; Composite material; Bending stiffness; Finite element method; Ultimate tensile strength; Poisson's ratio; Bending; Surface stress; Elastic modulus; Residual stress; Structural engineering; Poisson distribution; Nanotechnology; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01023387424244121,"gpt":0.2545714257245993,"spread":0.2443375514821581,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009573031,0.0001328162,0.0002321302,0.00008028129,0.0005440559,0.00004421512,0.0001584997,0.0000223094,0.001581216],"category_scores_gemma":[0.000128357,0.0001322616,0.00002572474,0.0002841802,0.00007574332,0.000197105,0.0001335194,0.00009992872,0.00000893093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004253959,"about_ca_system_score_gemma":0.00002479815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009994568,"about_ca_topic_score_gemma":0.00006538303,"domain_scores_codex":[0.9983535,0.0005594114,0.0003161823,0.0003242269,0.0001751826,0.0002715381],"domain_scores_gemma":[0.9990677,0.0005145851,0.0001180453,0.0002306617,0.00002097505,0.00004799311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00015319,0.0000444994,0.00008052515,0.000009966035,0.000004242747,0.00001066821,0.0005258531,0.04337592,0.8377746,0.1178896,0.000001460623,0.0001294782],"study_design_scores_gemma":[0.001739066,0.0001167007,0.001708318,0.00004191786,0.00003727528,0.00001595958,0.00103387,0.0002416972,0.4296804,0.5575498,0.007227544,0.000607449],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977381,0.0007135912,0.0002738895,0.00006307546,0.0002610066,0.0002493683,0.0001582331,0.00007549915,0.0004672061],"genre_scores_gemma":[0.9951311,0.00001616877,0.00309197,0.00007313488,0.00001625788,0.00002748824,0.00003410416,0.00001968398,0.001590039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4396602,"threshold_uncertainty_score":0.9993315,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4378232116","doi":"10.1002/adts.202300148","title":"Chaotic Time Series Prediction of Multi‐Dimensional Nonlinear System Based on Bidirectional LSTM Model","year":2023,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Xiamen University; Xiamen University of Technology; University of Regina","keywords":"Computer science; Chaotic; Generalization; Nonlinear system; Convolutional neural network; Noise (video); Artificial intelligence; Recurrent neural network; Stability (learning theory); Term (time); Artificial neural network; Machine learning; Algorithm; Speech recognition; Pattern recognition (psychology); Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01391986524299021,"gpt":0.2482676088895924,"spread":0.2343477436466022,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001585735,0.00008223729,0.00009934014,0.00009741,0.0002607904,0.0000146142,0.00009634395,0.00003357224,0.000004984817],"category_scores_gemma":[0.00002555492,0.00007449384,0.00003478007,0.0003916439,0.00004664842,0.0002294896,0.00003796817,0.00006064302,0.00001748788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001301241,"about_ca_system_score_gemma":0.00002459343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.387975e-7,"about_ca_topic_score_gemma":4.754596e-7,"domain_scores_codex":[0.9993349,0.0000553543,0.0001624365,0.0002133914,0.0001266753,0.0001072948],"domain_scores_gemma":[0.9991829,0.0004257819,0.00005799886,0.0002186773,0.00006995987,0.0000446276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001851998,0.00002975705,0.00002511855,0.000007309435,0.000004190473,3.662468e-7,0.00002841402,0.8542211,0.002150695,0.1427038,0.0000123303,0.0007983575],"study_design_scores_gemma":[0.0002547762,0.00003854295,0.0004842757,0.00003363089,0.000005635427,0.00000161956,0.000008413352,0.9882473,0.0005240741,0.01023881,0.0001021003,0.00006085426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1958753,0.00003292552,0.8017513,0.0004456185,0.0002015812,0.0004018808,0.0002912086,0.0006396318,0.0003606138],"genre_scores_gemma":[0.9783425,0.000002925257,0.02083235,0.00005894133,0.00003043264,0.00002254809,0.00006197159,0.00000731938,0.0006409476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7824673,"threshold_uncertainty_score":0.3037771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396740303","doi":"10.1002/adts.202400190","title":"Machine Learning‐Enhanced Prediction of Inorganic Semiconductor Bandgaps for Advancing Optoelectronic Technologies","year":2024,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; RMIT University","keywords":"Semiconductor; Optoelectronics; Materials science; Semiconductor materials; Computer science; Engineering physics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006349090979336048,"gpt":0.2639337986420563,"spread":0.2575847076627203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008477533,0.0001494251,0.0002056384,0.0001372048,0.0002815347,0.00006565661,0.000170506,0.00007543388,0.0002377276],"category_scores_gemma":[0.001367111,0.0001293038,0.00004037696,0.0002711506,0.0001881995,0.0004954561,0.00007203087,0.0001681369,0.000008977421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004388256,"about_ca_system_score_gemma":0.00005531283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002414397,"about_ca_topic_score_gemma":0.000004147194,"domain_scores_codex":[0.9987613,0.000140812,0.0003041851,0.0003885019,0.0001203352,0.0002848877],"domain_scores_gemma":[0.9984745,0.001113847,0.0001079053,0.000197381,0.00007483701,0.0000314731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005744646,0.00001056271,0.00008847775,0.0001018321,0.000006109327,2.407292e-7,0.0002783351,0.1026036,0.8553389,0.03880905,0.000001933694,0.002703493],"study_design_scores_gemma":[0.0003297055,0.0002745051,0.00006774099,0.000119447,0.00003369602,0.000005770259,0.0002036097,0.1208541,0.7675802,0.1085863,0.001787999,0.0001569826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8606268,0.002004013,0.1356786,0.00008458257,0.0004174823,0.0003317615,0.0001304011,0.0006188468,0.0001074262],"genre_scores_gemma":[0.9927177,0.0001205027,0.006646838,0.0000115279,0.00003693442,0.00003729667,0.00003615765,0.00002315255,0.0003698722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1320909,"threshold_uncertainty_score":0.5272856,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3008735371","doi":"10.1002/adts.201900254","title":"Computational Assessment of Water Desalination Performance of Multi‐Walled Carbon Nanotubes","year":2020,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Nanopore and Nanochannel Transport Studies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Pacific Institute for Climate Solutions","keywords":"Carbon nanotube; Desalination; Materials science; Reverse osmosis; Molecular dynamics; Graphene; Boron nitride; Membrane; Nanotechnology; Nanofluidics; Chemical engineering; Water transport; Water desalination; Molecule; Nanoporous; Nanotube; Water flow; Chemistry; Environmental engineering; Computational chemistry; Environmental science; Organic chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01157459848769149,"gpt":0.2499413580723803,"spread":0.2383667595846888,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006532862,0.00007016954,0.0001364803,0.00003551563,0.00004454465,0.000001417038,0.00002806065,0.00002281543,0.00000920032],"category_scores_gemma":[0.000009403964,0.00005763957,0.0000225059,0.00006953815,0.00003947311,0.00007960499,0.000008098406,0.00003777359,2.256947e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005384118,"about_ca_system_score_gemma":0.000005042113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.090997e-7,"about_ca_topic_score_gemma":0.000001010662,"domain_scores_codex":[0.999582,0.00001605305,0.0001927062,0.00007144076,0.00006875034,0.00006903479],"domain_scores_gemma":[0.9997249,0.0001283085,0.00002255875,0.00004076551,0.00006248611,0.00002104369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002763115,0.00001669609,0.002904189,0.0001042838,0.00003838269,1.989994e-7,0.001065828,0.9659439,0.02528983,0.00399939,1.81279e-7,0.0006095359],"study_design_scores_gemma":[0.0007083665,0.0000753253,0.006793503,0.00002537088,0.00002822091,1.782623e-7,0.00009048596,0.9269858,0.0628763,0.002283632,0.00004126256,0.00009157262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97547,0.0001932763,0.02392848,0.00002203778,0.00003827122,0.0001043993,0.00001835204,0.00003694742,0.0001882509],"genre_scores_gemma":[0.9964243,0.00008673978,0.003409077,0.00001124239,0.000009768812,0.000004632995,0.0000376505,0.000008356761,0.000008262125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03895807,"threshold_uncertainty_score":0.2350474,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3213314673","doi":"10.1002/adts.202100240","title":"Temporal Analysis of Photo‐Thermally Induced Reconfigurability in a 1D Gold Grating Filled with a Phase Change Material","year":2021,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Phase-change materials and chalcogenides","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nipissing University","funders":"","keywords":"Materials science; Amorphous solid; Reconfigurability; Absorption (acoustics); Grating; Optoelectronics; Phase (matter); Optics; Femtosecond; Laser; Chemistry; Crystallography","retraction":null,"screen_n_in":null,"score":{"opus":0.04056200774696685,"gpt":0.3155005095421117,"spread":0.2749385017951449,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005100163,0.0001527734,0.0004340328,0.0001419549,0.00008893946,0.00004700534,0.00007827536,0.0000617389,0.0016673],"category_scores_gemma":[0.0001446862,0.000127696,0.00005629668,0.000526725,0.00008053278,0.0003132214,0.0000384846,0.00004953054,8.204795e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001941153,"about_ca_system_score_gemma":0.0000369216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007250807,"about_ca_topic_score_gemma":0.0008145772,"domain_scores_codex":[0.9986333,0.0003263077,0.0003916308,0.000333,0.000113693,0.0002020832],"domain_scores_gemma":[0.9990833,0.0002878317,0.0001895723,0.0002670656,0.0001131478,0.00005907647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000817163,0.000200718,0.0008986952,0.0000278702,0.00005927009,0.00001519707,0.001641382,0.001434769,0.9924528,0.001284731,1.457608e-7,0.001167265],"study_design_scores_gemma":[0.002876202,0.0002404917,0.003908041,0.00009234366,0.0002955289,0.000005418344,0.001147355,0.003597243,0.9818228,0.00567929,0.00002880868,0.0003064105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984096,0.0000592174,0.0001893713,0.00003040103,0.00009346467,0.0002738553,0.0007737029,0.0000306876,0.0001397587],"genre_scores_gemma":[0.9990154,0.000007123775,0.0005947335,0.00007490338,0.00003552247,0.00006229952,0.0001695237,0.00001190572,0.0000286026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01062993,"threshold_uncertainty_score":0.9992453,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2906815161","doi":"10.1002/adts.201800171","title":"A Data‐Driven Accelerated Sampling Method for Searching Functional States of Proteins","year":2019,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Education and Child Care","funders":"Ministry of Science and Technology of the People's Republic of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Sampling (signal processing); Function (biology); Molecular dynamics; Calmodulin; Computational biology; Computer science; Biological system; Statistical physics; Biology; Physics; Chemistry; Computational chemistry; Evolutionary biology","retraction":null,"screen_n_in":null,"score":{"opus":0.03343776078135773,"gpt":0.3571117220972165,"spread":0.3236739613158587,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000223069,0.00007002254,0.00009170205,0.00002529407,0.00008670154,0.000009535724,0.00008799949,0.00004814539,0.000013758],"category_scores_gemma":[0.0001405133,0.00006327905,0.00002319424,0.00004568705,0.00002771812,0.00001428472,0.00008714111,0.0000471058,3.34971e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002801338,"about_ca_system_score_gemma":0.00003258435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001395737,"about_ca_topic_score_gemma":0.000008202515,"domain_scores_codex":[0.9994583,0.00006034683,0.0001188672,0.0002183946,0.00004496016,0.00009917816],"domain_scores_gemma":[0.9993857,0.0001971633,0.00005598325,0.0002591243,0.0000765243,0.00002548717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004087371,0.00001465296,0.0005951645,0.00003508034,0.00005477884,4.538315e-8,0.00004632701,0.3474787,0.6220675,0.0216026,0.0000021525,0.007694159],"study_design_scores_gemma":[0.003226205,0.0005909373,0.002948014,0.00006263278,0.0000786344,0.000007554545,0.000377537,0.5527344,0.1320465,0.2925545,0.01488422,0.0004888033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4324878,0.00008739672,0.5666677,0.000012306,0.00002530089,0.0003040611,0.0003730475,0.000004830328,0.00003755388],"genre_scores_gemma":[0.8859042,0.00001228311,0.1121607,0.00004985935,0.0000346508,0.00001280315,0.001677039,0.000009820407,0.0001386647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.490021,"threshold_uncertainty_score":0.2580445,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389833166","doi":"10.1002/adts.202300845","title":"Modeling and Analyzing Information Propagation Evolution Integrating Internal and External Influences","year":2023,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Fields Institute for Research in Mathematical Sciences; York University","funders":"Fundamental Research Funds for the Central Universities; Communication University of China; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Public opinion; Computer science; Opinion leadership; Information Dissemination; Data science; Rationality; Knowledge management; Public relations; Political science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.007327435755520282,"gpt":0.2828584242779582,"spread":0.2755309885224378,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002128035,0.0000735546,0.00007545076,0.00008605245,0.0003453832,0.00009814181,0.00002735646,0.00002143059,0.00000480661],"category_scores_gemma":[0.00004471922,0.00006902102,0.00001445465,0.0001344824,0.00004926513,0.001041547,0.00003851794,0.00008695383,0.000001811208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009477386,"about_ca_system_score_gemma":0.00001162941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003958391,"about_ca_topic_score_gemma":0.000006517738,"domain_scores_codex":[0.9995281,0.00004228448,0.0001775732,0.0000992378,0.00005660329,0.00009628016],"domain_scores_gemma":[0.9996694,0.0001247615,0.00006195372,0.0000453521,0.00006095039,0.00003763668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001587274,0.000003687599,0.04654828,0.0000098405,0.00001173113,6.995801e-8,0.001858063,0.2690781,0.0006993064,0.6386421,1.287788e-7,0.0431328],"study_design_scores_gemma":[0.0001516117,0.0000109197,0.00789115,0.00004817222,0.000006662597,2.724449e-7,0.001682428,0.7342854,0.00001298814,0.255835,0.000008378155,0.00006708146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7083842,0.00003754543,0.2913079,0.00001981181,0.00003193855,0.00007079905,0.00001290038,0.00002338109,0.0001115478],"genre_scores_gemma":[0.9991967,0.00001600166,0.0006668832,0.00001522834,0.00003792438,0.000007643106,0.00003485024,0.000003612226,0.00002114226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4652073,"threshold_uncertainty_score":0.2814596,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4365816438","doi":"10.1002/adts.202300081","title":"Unconstrained Machine Learning Screening for New Li‐Ion Cathode Materials Enhanced by Class Balancing","year":2023,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Government of Ontario","keywords":"Battery (electricity); Cathode; Voltage; Computer science; Lithium (medication); Class (philosophy); Stability (learning theory); Power (physics); Materials science; Algorithm; Machine learning; Artificial intelligence; Chemistry; Physics; Thermodynamics; Engineering; Electrical engineering; Physical chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.01350140805368501,"gpt":0.2952764360415423,"spread":0.2817750279878573,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002052779,0.0002394051,0.0003474493,0.0001425771,0.0008525143,0.0002037201,0.0002350598,0.00009061931,0.0007056743],"category_scores_gemma":[0.002124307,0.000226975,0.00004042678,0.0003404666,0.0001421327,0.0004741225,0.0001196981,0.0001277561,0.00005183327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002749546,"about_ca_system_score_gemma":0.00004561508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003097212,"about_ca_topic_score_gemma":0.00001484718,"domain_scores_codex":[0.9978532,0.0004588577,0.0004301773,0.0005462448,0.0002060949,0.0005054222],"domain_scores_gemma":[0.9971479,0.002150396,0.0002365553,0.0002513741,0.00007080476,0.0001429507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001333503,0.000006662081,0.00006684389,0.00002065327,0.000005217835,5.390301e-7,0.0004785992,0.2518821,0.7376615,0.00664839,0.0000315494,0.003064496],"study_design_scores_gemma":[0.001666946,0.0001933984,0.0004110528,0.000139713,0.00005751212,0.000004312661,0.0003631377,0.1452975,0.8184853,0.02789215,0.004904791,0.0005842037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7180999,0.00005275481,0.2800413,0.0001876516,0.0004692963,0.0003578611,0.000250239,0.0004312445,0.0001097823],"genre_scores_gemma":[0.9778361,0.00001737464,0.01924621,0.0001521967,0.0001304553,0.00004124028,0.000399008,0.00004178485,0.002135644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2607951,"threshold_uncertainty_score":0.9255773,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802106285","doi":"10.1002/adts.201800003","title":"Controllable Phase Stabilities in Transition Metal Dichalcogenides through Curvature Engineering: First‐Principles Calculations and Continuum Prediction","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"2D Materials and Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Curvature; Phase transition; Materials science; Transition metal; Phase diagram; Density functional theory; Phase (matter); Structural stability; Bending; Condensed matter physics; Nanotechnology; Chemical physics; Chemistry; Computational chemistry; Physics; Structural engineering; Engineering; Quantum mechanics; Geometry; Catalysis; Composite material; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01278347169421315,"gpt":0.2678508366539104,"spread":0.2550673649596972,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002932826,0.0001318473,0.0001868735,0.00005256392,0.0003461122,0.00005982424,0.00004687788,0.00006723234,0.0001710529],"category_scores_gemma":[0.0001515915,0.0001227727,0.00002367474,0.0001295901,0.0002017608,0.0005743076,0.00002207137,0.00005533331,0.000004197904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001789908,"about_ca_system_score_gemma":0.00001353089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000155865,"about_ca_topic_score_gemma":0.0001736303,"domain_scores_codex":[0.9991257,0.0000730848,0.000281208,0.0002628433,0.00007705674,0.0001800737],"domain_scores_gemma":[0.999258,0.0003930745,0.00006157418,0.0001586741,0.00008051629,0.00004820463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002174916,0.0001242672,0.0001511867,0.00003696694,0.00001571536,6.765719e-7,0.003116149,0.06610056,0.7215057,0.2085876,0.000004357378,0.0001393831],"study_design_scores_gemma":[0.01179545,0.0007426384,0.006994497,0.0002714312,0.0003395234,0.0000280014,0.002464095,0.1790868,0.4495445,0.3108123,0.03682849,0.001092296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696022,0.0003764282,0.02861224,0.0001837614,0.0001269785,0.0003884111,0.0004898019,0.0000902906,0.0001298767],"genre_scores_gemma":[0.9973139,0.00004034565,0.002266944,0.00004762541,0.0001010195,0.00007912986,0.00006677234,0.0000130089,0.00007126507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2719612,"threshold_uncertainty_score":0.5006526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312222819","doi":"10.1002/adts.202200620","title":"First‐Principles Study on Interfacial Bonding Characteristics and Tensile Deformation Behavior of Ni (001)/Ni<sub>3</sub>Al (001) in K418 Superalloy","year":2022,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Intermetallics and Advanced Alloy Properties","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Nial; Materials science; Superalloy; Ultimate tensile strength; Ionic bonding; Covalent bond; Phase (matter); Deformation (meteorology); Metallic bonding; Crystallography; Composite material; Metallurgy; Metal; Intermetallic; Microstructure; Alloy; Chemistry; Ion","retraction":null,"screen_n_in":null,"score":{"opus":0.01500635620583043,"gpt":0.2385407281100436,"spread":0.2235343719042132,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880804,0.0001522242,0.0002113895,0.0001673641,0.0002531579,0.00002240455,0.00006905993,0.00002657675,0.00002619373],"category_scores_gemma":[0.00005799263,0.0001512712,0.00002315697,0.0001147989,0.00004763386,0.0002727748,0.00009021749,0.0002027967,0.00000125078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005591518,"about_ca_system_score_gemma":0.000004899769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003183555,"about_ca_topic_score_gemma":0.00003464126,"domain_scores_codex":[0.9991579,0.00006027357,0.0003420785,0.0001614171,0.0001137441,0.0001645944],"domain_scores_gemma":[0.9996127,0.0001298997,0.00005439923,0.0001322799,0.00003654612,0.00003419349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003208883,0.0005459288,0.01491175,0.00007012107,0.00005963437,0.00001404678,0.00448357,0.83464,0.1102954,0.02436088,0.000004473527,0.01029328],"study_design_scores_gemma":[0.009680114,0.003070709,0.265195,0.0003951367,0.0002871028,0.00005137796,0.0179918,0.6264107,0.05244022,0.0125041,0.009708462,0.002265333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989178,0.00005415159,0.000136292,0.00001376568,0.0002456371,0.0003539649,0.0001561157,0.00005311407,0.00006913285],"genre_scores_gemma":[0.9996281,0.00003566931,0.00006544141,0.00003033302,0.00001721306,0.00007918912,0.00006977018,0.00002452558,0.00004981553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2502832,"threshold_uncertainty_score":0.6168662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402921778","doi":"10.1002/adts.202400607","title":"A Random Forest Model for Predicting and Analyzing the Performance of CNT TFET with Highly Doped Pockets","year":2024,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Doping; Random forest; Materials science; Nanotechnology; Environmental science; Computer science; Optoelectronics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.0108948408570758,"gpt":0.2427175306592828,"spread":0.231822689802207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001841654,0.0001022825,0.000122196,0.00004122439,0.0001537025,0.0000254537,0.0000475526,0.00002400263,0.000002636871],"category_scores_gemma":[0.00001950585,0.00006809844,0.00002057649,0.000101107,0.00005894812,0.0003036627,0.000009389173,0.00007444346,1.175789e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000943726,"about_ca_system_score_gemma":0.000008467735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.893399e-7,"about_ca_topic_score_gemma":0.00000457616,"domain_scores_codex":[0.9995255,0.00001551732,0.0001574391,0.0001281316,0.00005067428,0.0001227446],"domain_scores_gemma":[0.9991513,0.0006566098,0.00002542455,0.0001128213,0.00002803687,0.00002574812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008460217,0.000003344129,0.0009527787,0.0001467574,0.00006070994,2.159608e-7,0.0007396093,0.9706501,0.002841191,0.01622171,9.291991e-7,0.008298054],"study_design_scores_gemma":[0.000633709,0.00004294491,0.0001361093,0.0001318348,0.00007054116,0.000002455836,0.0001270632,0.9859025,0.0008690946,0.01183586,0.0001547664,0.00009307219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6877001,0.001993456,0.309848,0.000006703605,0.00004232062,0.0002375012,0.00002936821,0.0000555976,0.00008701782],"genre_scores_gemma":[0.9981358,0.0002368248,0.001442411,0.00001136501,0.00002573981,0.00003792827,0.000008523066,0.00002164522,0.00007973423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3104357,"threshold_uncertainty_score":0.2776974,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206924311","doi":"10.1002/adts.202100278","title":"A Novel Theoretical Model Development and Simulation of Melt‐Electrospinning Using Kane's and Udwadia–Kalaba Methods","year":2022,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Fiber; Mechanics; Viscoelasticity; Jet (fluid); Kinematics; Discretization; Materials science; Electrospinning; Simulation; Phase (matter); Trajectory; Control theory (sociology); Mechanical engineering; Computer science; Engineering; Physics; Classical mechanics; Mathematics; Composite material; Mathematical analysis; Polymer; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01898422274463183,"gpt":0.3456736721212156,"spread":0.3266894493765838,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048027,0.0001290762,0.0002000574,0.00009765552,0.0007456584,0.00002347038,0.00008966465,0.00004656227,0.00006980136],"category_scores_gemma":[0.0001409207,0.0001273298,0.00001768873,0.0002550452,0.0004719499,0.0001546457,0.0001833357,0.0001238619,2.052995e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000050663,"about_ca_system_score_gemma":0.00007169044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000117492,"about_ca_topic_score_gemma":5.771785e-7,"domain_scores_codex":[0.9987706,0.0001920462,0.0003181784,0.0003244007,0.0001776263,0.0002171672],"domain_scores_gemma":[0.9982945,0.001273207,0.0001269348,0.0001585503,0.00005801742,0.0000888083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004224877,0.0000303524,0.00001966868,0.000008683485,0.000005957198,1.055223e-7,0.0005040913,0.26045,0.4499096,0.2845189,1.300017e-7,0.004510251],"study_design_scores_gemma":[0.0003913599,0.0000522299,0.00007182016,0.000009818039,0.00003165822,0.000008557657,0.00009991304,0.7223669,0.07096363,0.2057216,0.0001398044,0.0001427295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4648836,0.0002371391,0.5345851,0.00003449247,0.00001623205,0.0001545583,0.0000210155,0.0000228247,0.0000450121],"genre_scores_gemma":[0.6435757,0.000006535238,0.3562823,0.00006896848,0.000006520409,0.00002303155,0.000009362971,0.00001042543,0.00001716462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4619169,"threshold_uncertainty_score":0.5735077,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406173866","doi":"10.1002/adts.202401205","title":"Elucidating the Oxidation Process and Enhanced Stability of Black Phosphorus through NTCDA Passivation: A Molecular Dynamics Study","year":2025,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"2D Materials and Applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Ontario College of Pharmacists","keywords":"Black phosphorus; Passivation; Molecular dynamics; Phosphorus; Materials science; Process (computing); Chemical physics; Chemical engineering; Chemistry; Nanotechnology; Computational chemistry; Metallurgy; Computer science; Optoelectronics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.00746634920866169,"gpt":0.2981846136464159,"spread":0.2907182644377542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004620375,0.0001069142,0.0001563413,0.00002135803,0.0003456454,0.00005307678,0.0001398665,0.00003347984,0.00004325427],"category_scores_gemma":[0.000380396,0.00008210548,0.00001628906,0.0002434607,0.0002204011,0.0002637017,0.00008824571,0.00005088738,9.840113e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002249829,"about_ca_system_score_gemma":0.00004317012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009393299,"about_ca_topic_score_gemma":0.00002131381,"domain_scores_codex":[0.9990371,0.0001682541,0.0003144326,0.0002637206,0.00009990839,0.0001165727],"domain_scores_gemma":[0.998764,0.0005293954,0.0001559176,0.0003807361,0.0001518609,0.00001811155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008112533,0.0001351469,0.0005450615,0.00004782786,0.00001293929,1.10513e-7,0.002977129,0.009786564,0.6693693,0.3155926,3.319852e-7,0.001451886],"study_design_scores_gemma":[0.0004454814,0.00004640301,0.002756152,0.00002925603,0.00004675917,2.04711e-7,0.005050276,0.003164845,0.6382275,0.3501205,0.00001446931,0.00009819053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8721943,0.00006409516,0.1263528,0.0002035569,0.00004321786,0.0006841573,0.00003517831,0.00003085966,0.0003918877],"genre_scores_gemma":[0.9986665,0.00001100211,0.001109884,0.00006635337,0.000007596321,0.00008777261,0.00001803367,0.000006609578,0.00002622264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1264722,"threshold_uncertainty_score":0.3348164,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200249566","doi":"10.1002/adts.202100351","title":"<i>SymPhas</i>—General Purpose Software for Phase‐Field, Phase‐Field Crystal, and Reaction‐Diffusion Simulations","year":2021,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Solidification and crystal growth phenomena","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Solver; Field (mathematics); Modular design; Computational science; Compiler; Interface (matter); Software; Programming language; Theoretical computer science; Parallel computing; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01665396955626728,"gpt":0.3213023696179892,"spread":0.3046484000617219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002008543,0.0001886611,0.0002232662,0.00007915822,0.0007939396,0.0001115503,0.00008617852,0.0001020508,0.0003615308],"category_scores_gemma":[0.0009148977,0.000190755,0.00005454093,0.0002422577,0.00008095926,0.0005180122,0.00006366876,0.00009006662,0.000004928787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002296882,"about_ca_system_score_gemma":0.00005893443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002411251,"about_ca_topic_score_gemma":0.00001099173,"domain_scores_codex":[0.9986617,0.0001362461,0.000354561,0.000450365,0.0001351223,0.0002620189],"domain_scores_gemma":[0.9972366,0.00190017,0.0001262409,0.0003267769,0.0002582159,0.0001519649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003943848,0.0003334848,0.00006449157,0.00003322174,0.00001276394,0.000001791777,0.0004445106,0.002806272,0.9302713,0.05325271,0.00006159922,0.0123235],"study_design_scores_gemma":[0.01823017,0.001197351,0.0001748666,0.000117147,0.0002514208,0.00004552328,0.001677421,0.0284375,0.4947027,0.3588874,0.0951491,0.001129423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8429948,0.0004396244,0.1547484,0.0003576842,0.0002437724,0.0004338399,0.0003276145,0.0001289275,0.000325326],"genre_scores_gemma":[0.9917184,0.00006332473,0.005622447,0.00100461,0.0001358427,0.0000572004,0.0002754429,0.00002487823,0.001097931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4355686,"threshold_uncertainty_score":0.7778765,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2957886844","doi":"10.1002/adts.201900099","title":"Modulation of Electronic Behaviors of InSe Nanosheet and Nanoribbons: The First‐Principles Study","year":2019,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"2D Materials and Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Jiangxi University of Science and Technology; China Scholarship Council; National Natural Science Foundation of China; McGill University","keywords":"Zigzag; Nanosheet; Semiconductor; Materials science; Band gap; Condensed matter physics; Ribbon; Monolayer; Spintronics; Direct and indirect band gaps; Electronic band structure; Optoelectronics; Nanotechnology; Ferromagnetism; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.007857359017599604,"gpt":0.2595902401540384,"spread":0.2517328811364388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003805773,0.00007730415,0.0001439515,0.0000324642,0.0001565017,0.00001415276,0.0000869935,0.00002646139,0.00008500498],"category_scores_gemma":[0.00004459958,0.00005591476,0.00001714417,0.0000982918,0.0001025286,0.0001538269,0.00005510831,0.00003273185,0.00000273952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007509142,"about_ca_system_score_gemma":0.00001713158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001400392,"about_ca_topic_score_gemma":0.00004572811,"domain_scores_codex":[0.9993159,0.00008665652,0.0002455295,0.0001601119,0.00008503703,0.0001067643],"domain_scores_gemma":[0.999177,0.0003450801,0.0001450565,0.0002612022,0.00005404248,0.00001763548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008620795,0.0001537056,0.01293356,0.00002206117,0.000008177821,5.912044e-8,0.001197994,0.06728136,0.678317,0.2396765,3.510639e-7,0.0003230258],"study_design_scores_gemma":[0.003221572,0.001092477,0.4549661,0.0001111225,0.0002368829,0.0000056521,0.004164315,0.01351759,0.2893167,0.2310914,0.001725939,0.0005502711],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988241,0.000109038,0.0002878437,0.00003382287,0.00004976574,0.0005711392,0.00004084828,0.00001521644,0.00006829347],"genre_scores_gemma":[0.9997073,0.00001945218,0.0001433908,0.00001240478,0.000007615095,0.00002949078,0.000005504784,0.000007212553,0.0000676558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4420325,"threshold_uncertainty_score":0.2280138,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410780386","doi":"10.1002/adts.202401565","title":"Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine","year":2025,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Nazarbayev University","keywords":"Gradient boosting; Boosting (machine learning); Materials science; Computer science; Optoelectronics; Artificial intelligence; Electronic engineering; Engineering; Random forest","retraction":null,"screen_n_in":null,"score":{"opus":0.02377020727741912,"gpt":0.3199211227707149,"spread":0.2961509154932958,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000153153,0.0001102911,0.0001816613,0.00006122213,0.0002139918,0.00003107006,0.00004252076,0.00002102939,0.00003055715],"category_scores_gemma":[0.00000735503,0.0001001999,0.0000287814,0.00007728761,0.00002985107,0.0001320836,0.0000295271,0.00005051152,9.869171e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006514923,"about_ca_system_score_gemma":0.00001617327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004081361,"about_ca_topic_score_gemma":0.000002315098,"domain_scores_codex":[0.9993562,0.00007202518,0.0002291543,0.0001773892,0.00003930458,0.0001259628],"domain_scores_gemma":[0.9995912,0.00009794111,0.00008524627,0.0001288601,0.00005003134,0.0000467464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005689841,0.00007515391,0.0005186663,0.00001370296,0.00001531278,1.866443e-7,0.0003704753,0.8982173,0.07547604,0.02443712,4.415044e-8,0.000819054],"study_design_scores_gemma":[0.0008651345,0.00002611763,0.00004402669,0.00007563306,0.00008701882,2.787183e-7,0.0005663765,0.9678464,0.0145785,0.01577794,0.00001265467,0.0001199021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945214,0.0001661776,0.05413862,0.000008889995,0.00008434213,0.0001657496,0.00006679778,0.00001473191,0.0001407248],"genre_scores_gemma":[0.9979982,0.000002024687,0.001894462,0.00001388866,0.0000180062,0.000003744772,0.0000405607,0.000008509659,0.00002057057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06962907,"threshold_uncertainty_score":0.4086031,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3143580011","doi":"10.1002/adts.202100028","title":"Collective Magnetism in 2D Polymer Made of C‐Doped Triangular Boron Nitride Nanoflakes","year":2021,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Graphene research and applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetism; Spintronics; Materials science; Fermi level; Condensed matter physics; Dopant; Ground state; Doping; Ferromagnetism; Physics; Atomic physics; Electron","retraction":null,"screen_n_in":null,"score":{"opus":0.01012615274874814,"gpt":0.2830877710500121,"spread":0.272961618301264,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002542873,0.00007861682,0.0001536616,0.00009136315,0.0001514591,0.00001918253,0.00007607211,0.00003865938,0.0004183567],"category_scores_gemma":[0.0002812135,0.00007620875,0.00003397706,0.0004627556,0.0001295445,0.0001605649,0.00003825509,0.00006378241,0.000006755143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002286307,"about_ca_system_score_gemma":0.0001612136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001333213,"about_ca_topic_score_gemma":0.00006974382,"domain_scores_codex":[0.9990399,0.0002463297,0.000205491,0.00021236,0.0001127785,0.0001831618],"domain_scores_gemma":[0.9988921,0.0007002474,0.00005194441,0.0002021997,0.00009047518,0.00006301864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001079001,0.00007661509,0.000308476,0.000009003515,0.000005010158,0.00000372929,0.0004094244,0.002269788,0.9021147,0.0933641,0.000004647321,0.001326618],"study_design_scores_gemma":[0.0009228956,0.00004056559,0.003456073,0.00002268177,0.00001034498,0.000002363563,0.0004714317,0.0002897246,0.822292,0.1721107,0.0002869423,0.00009430449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928451,0.00209997,0.002998627,0.0001399533,0.00002976542,0.000223755,0.0001085207,0.0000178533,0.001536499],"genre_scores_gemma":[0.9960374,0.00006775578,0.0009226156,0.0000358741,0.00001271682,0.000038716,0.00002137188,0.000007805154,0.00285575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07982269,"threshold_uncertainty_score":0.4580713,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4206917572","doi":"10.1002/adts.202100459","title":"Interpretability of Neural Networks with Probability Density Functions","year":2022,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Sigmoid function; Interpretability; Probability density function; Artificial neural network; Variable (mathematics); Probability distribution; Computer science; Cumulative distribution function; Function (biology); Artificial intelligence; Feature (linguistics); Perceptron; Binary function; Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.007086387723102946,"gpt":0.2249046253088949,"spread":0.2178182375857919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002624125,0.00008157099,0.0001147953,0.00002752956,0.0005572581,0.00001765514,0.0002060905,0.00001407243,0.00003118505],"category_scores_gemma":[0.0000269831,0.00006990774,0.00003461669,0.0003971844,0.0001216781,0.0002575768,0.0002315461,0.0001669432,2.079002e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000181702,"about_ca_system_score_gemma":0.00001511283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002577435,"about_ca_topic_score_gemma":0.00001514655,"domain_scores_codex":[0.9991197,0.0002133811,0.0001676112,0.0002783556,0.00009595882,0.0001250196],"domain_scores_gemma":[0.9987699,0.0005821975,0.00008111109,0.0004541662,0.00006368972,0.00004892649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004951678,0.00006579272,0.003685243,0.000002581996,0.000006423776,2.835128e-7,0.0001105994,0.780587,0.00007031427,0.2027207,0.000002407185,0.01269913],"study_design_scores_gemma":[0.0002389314,0.0001478723,0.006855468,0.000002808754,0.00001317618,0.000009832371,0.00006582953,0.8587977,0.00004794151,0.1332918,0.0004132963,0.000115347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4392713,0.00004206633,0.5601619,0.0001340664,0.00004661824,0.0001918611,0.000009500765,0.00004886467,0.00009386213],"genre_scores_gemma":[0.9950772,0.000001186721,0.004683046,0.0001066311,0.00001072344,0.00005482532,0.000008988068,0.00000416916,0.00005326525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5558059,"threshold_uncertainty_score":0.4286035,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394581413","doi":"10.1002/adts.202300839","title":"Building Models in Pairs for Cross‐Verification Using SDL and DEVS","year":2024,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"DEVS; Computer science; Programming language; Modeling and simulation; Simulation","retraction":null,"screen_n_in":null,"score":{"opus":0.1297730509077498,"gpt":0.4811462852412659,"spread":0.3513732343335161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001234132,0.00009168146,0.0001215964,0.0002434201,0.0002908883,0.0002573207,0.000100439,0.00006025877,0.00002069331],"category_scores_gemma":[0.0005413607,0.00007992663,0.00003720657,0.0004994964,0.00009017487,0.0008091377,0.00003467364,0.00006883326,0.000001219444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002529417,"about_ca_system_score_gemma":0.00002474844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003213375,"about_ca_topic_score_gemma":0.000005345903,"domain_scores_codex":[0.9988989,0.00007164424,0.0003749796,0.0003807244,0.0001462106,0.0001275601],"domain_scores_gemma":[0.9961756,0.00338108,0.00005746849,0.0002257334,0.000112787,0.00004736767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001618136,0.000006446511,0.000293661,0.00000451122,0.000002046478,1.346392e-7,0.0001983723,0.354722,0.001542226,0.6040577,0.000002416052,0.03915436],"study_design_scores_gemma":[0.00009948154,0.00000588078,0.0003980646,0.00001406557,0.000003897214,8.860704e-7,0.00007294915,0.4904873,0.0002676198,0.5067929,0.001802833,0.000054091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4146597,0.0003463469,0.5843964,0.0000781762,0.0000333528,0.0002691456,0.00003179702,0.00005643683,0.0001286085],"genre_scores_gemma":[0.9611417,0.00001784871,0.03846833,0.00005594342,0.00002507476,0.00004497512,0.000007500026,0.0000117593,0.00022685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.546482,"threshold_uncertainty_score":0.3259313,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3148946165","doi":"10.1002/adts.202000214","title":"Direct and Plasmonic Nanoparticle‐Mediated Infrared Neural Stimulation: Comprehensive Computational Modeling and Validation","year":2021,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nipissing University","funders":"","keywords":"Plasmon; Computational model; Monte Carlo method; Computer science; Materials science; Nanofluid; Biological system; Artificial neural network; Nanoparticle; Infrared; Nanotechnology; Artificial intelligence; Optics; Optoelectronics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.04249546406135173,"gpt":0.3271756685290213,"spread":0.2846802044676696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008787237,0.0001035613,0.0001200978,0.00006373655,0.0004030298,0.00008702525,0.00003643567,0.00003910197,0.00003812563],"category_scores_gemma":[0.0005988301,0.0001067902,0.00001576482,0.0002169564,0.0001331059,0.0002940687,0.00007701628,0.00008932009,0.000002114341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001177195,"about_ca_system_score_gemma":0.00003081823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.897687e-7,"about_ca_topic_score_gemma":0.000001399599,"domain_scores_codex":[0.9989082,0.0002802357,0.0001723097,0.0003153447,0.0001637471,0.0001601181],"domain_scores_gemma":[0.9974316,0.002204743,0.00003487659,0.00009898093,0.0001252805,0.0001044998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007373933,0.00002103076,0.0008052253,0.000008356326,0.000004573825,0.000003200473,0.0002872338,0.7452919,0.2471629,0.005396263,4.438889e-7,0.0009451711],"study_design_scores_gemma":[0.0007379176,0.00003462295,0.001916131,0.000009650195,0.000009435495,0.000010213,0.0000838358,0.8573837,0.1058821,0.03377304,0.00004849156,0.0001108879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957782,0.0003347741,0.003315951,0.0000558475,0.00005095659,0.0001686496,0.00005675302,0.00004034682,0.0001985202],"genre_scores_gemma":[0.9989638,0.0001127586,0.0006207975,0.0001467013,0.00001365357,0.000007593726,0.00005585212,0.00001087599,0.00006795445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1412808,"threshold_uncertainty_score":0.4354778,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399922780","doi":"10.1002/adts.202400234","title":"Distribution Enhancement for Imbalanced Data with Generative Adversarial Network","year":2024,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Adversarial system; Generative grammar; Generative adversarial network; Artificial intelligence; Computer science; Distribution (mathematics); Pattern recognition (psychology); Machine learning; Mathematics; Deep learning","retraction":null,"screen_n_in":null,"score":{"opus":0.02011919984567702,"gpt":0.3072258978439821,"spread":0.2871066979983051,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003960249,0.0001234423,0.000114902,0.00002959816,0.0002890953,0.000157569,0.0004090173,0.00003936241,0.000007693037],"category_scores_gemma":[0.00009456851,0.0001016177,0.00001698156,0.0002825269,0.00007003165,0.001282401,0.0001619017,0.00007967168,0.000003138415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000395299,"about_ca_system_score_gemma":0.00006195482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.449705e-7,"about_ca_topic_score_gemma":0.000003962054,"domain_scores_codex":[0.998926,0.00007844091,0.0001747456,0.0005173082,0.0001059509,0.0001975012],"domain_scores_gemma":[0.9983962,0.0006820662,0.00005460209,0.0007449145,0.00007724875,0.00004497018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006916584,0.00001685108,0.00001540235,0.00001288459,0.00002948946,8.96768e-7,0.0001011279,0.008367676,0.00121346,0.9565812,0.0005632732,0.03302852],"study_design_scores_gemma":[0.0004732803,0.0001465153,0.0001324176,0.00007166791,0.00002842477,0.000003170907,0.00001985523,0.6268808,0.004460703,0.2963795,0.07117285,0.0002307366],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008604187,0.000316026,0.9965751,0.0004092843,0.0002435936,0.0005046875,0.0006520601,0.0003189107,0.0001198915],"genre_scores_gemma":[0.7896833,0.00004787571,0.2073887,0.0001215455,0.0001427329,0.00009801461,0.002306699,0.000009689322,0.0002014238],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7891865,"threshold_uncertainty_score":0.4143849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401641562","doi":"10.1002/adts.202400364","title":"Investigation of Back Surface Field Layer for High Efficiency Ultrathin In<sub>2</sub>S<sub>3</sub> based CIGS Solar Cell","year":2024,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Chalcogenide Semiconductor Thin Films","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Copper indium gallium selenide solar cells; Materials science; Solar cell; Layer (electronics); Optoelectronics; Fabrication; Energy conversion efficiency; Nanotechnology","retraction":null,"screen_n_in":null,"score":{"opus":0.01192100253180281,"gpt":0.224062495217233,"spread":0.2121414926854302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003325904,0.0002004841,0.0002098073,0.0001342806,0.00007577254,0.00003049376,0.00009402489,0.0001462366,0.00001993784],"category_scores_gemma":[0.0001616957,0.0002158906,0.00007259411,0.0003564662,0.0000578878,0.0003451731,0.00001572244,0.0002252589,0.00001370849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004189927,"about_ca_system_score_gemma":0.00003942821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002012579,"about_ca_topic_score_gemma":0.0000175359,"domain_scores_codex":[0.9989374,0.00007405957,0.0003628138,0.0002818064,0.0001094401,0.0002345147],"domain_scores_gemma":[0.9976769,0.001918576,0.00004506792,0.0002303893,0.00005767423,0.00007136241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001957215,0.000008583003,0.00006501861,0.0001603077,0.000008904604,9.235912e-7,0.0003906386,0.4159244,0.5804718,0.002412427,0.00001673852,0.0005206918],"study_design_scores_gemma":[0.0004474926,0.00004487563,0.00009219223,0.0001111519,0.00002482044,7.168092e-7,0.00005926206,0.1914551,0.7871885,0.02034448,0.00004417399,0.0001872077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670004,0.0008325516,0.03091359,0.00004322009,0.000371093,0.000438329,0.0001512595,0.000155366,0.00009425382],"genre_scores_gemma":[0.9984673,0.00005776748,0.001183059,0.00007124909,0.0000371326,0.00001533607,0.0001045807,0.00004839628,0.00001515786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2244693,"threshold_uncertainty_score":0.8803762,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411086134","doi":"10.1002/adts.202500282","title":"Ultrafast Radiative Recombination Engineering in InGaN/GaN Quantum Wells through Temperature, Alloy Fraction and Layer's Width Tuning for Photonics","year":2025,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Optoelectronics; Photonics; Materials science; Ultrashort pulse; Alloy; Quantum well; Layer (electronics); Recombination; Optics; Nanotechnology; Physics; Composite material; Laser; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.008552465809575398,"gpt":0.2721833299588073,"spread":0.2636308641492319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001719296,0.0001157851,0.0001582098,0.00007078855,0.0001567077,0.00004959307,0.00003264918,0.0000437935,0.000016649],"category_scores_gemma":[0.00003367117,0.0001184178,0.00002494241,0.0001129075,0.00001819157,0.0003827285,0.000009156106,0.00009842966,2.977029e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002140344,"about_ca_system_score_gemma":0.00001909798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002244753,"about_ca_topic_score_gemma":0.000005689724,"domain_scores_codex":[0.999427,0.00004979752,0.0001792241,0.0001852925,0.00002999028,0.0001287036],"domain_scores_gemma":[0.9991695,0.000618918,0.00006934234,0.00008050555,0.00003935831,0.00002241761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009944174,0.0000635918,0.003493941,0.00006026495,0.00005887395,2.025265e-7,0.001296444,0.149248,0.3695734,0.4747205,0.000003502996,0.001381773],"study_design_scores_gemma":[0.004672557,0.0001337987,0.005498626,0.0003911757,0.0001003414,5.021479e-7,0.003087317,0.2068896,0.2519268,0.5221246,0.004626154,0.0005483872],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828725,0.0000786567,0.01626057,0.00004365143,0.0001667617,0.0003425391,0.00005256056,0.00002257435,0.0001601784],"genre_scores_gemma":[0.9988847,0.00002145115,0.000763156,0.00006987791,0.0000265439,0.00003462451,0.0001088026,0.00001153364,0.00007933053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1176466,"threshold_uncertainty_score":0.4828936,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385397476","doi":"10.1002/adts.202300357","title":"Electronic and Magnetic Properties of Co‐Decorated Molecular Organic Network Adsorbed on Graphene","year":2023,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Graphene research and applications","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Graphene; Density functional theory; Materials science; Atom (system on chip); Adsorption; Condensed matter physics; Graphene nanoribbons; Heterojunction; Chemical physics; Nanotechnology; Chemistry; Computational chemistry; Physics; Physical chemistry; Optoelectronics","retraction":null,"screen_n_in":null,"score":{"opus":0.01000431816844297,"gpt":0.2644216889014787,"spread":0.2544173707330357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002882467,0.00008968465,0.0001200661,0.00008281941,0.0002174516,0.00002235698,0.00007913874,0.00003052834,0.0001076252],"category_scores_gemma":[0.0001016335,0.00007560076,0.00001960976,0.0005557453,0.0001795879,0.00008216081,0.00003146838,0.00006875853,0.00002221221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000624221,"about_ca_system_score_gemma":0.00003258454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001554244,"about_ca_topic_score_gemma":0.000006937966,"domain_scores_codex":[0.9991227,0.0001401797,0.0001473743,0.0002038879,0.0001069373,0.0002788903],"domain_scores_gemma":[0.999408,0.0002320369,0.0000424023,0.0001920551,0.0000598054,0.00006568379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008571385,0.0000203285,0.0001168378,0.00001300362,0.000006098577,5.423149e-7,0.00007842954,0.01915453,0.8177375,0.1620742,0.000006064462,0.0007067094],"study_design_scores_gemma":[0.0007079795,0.0003741211,0.002611869,0.00005533774,0.00002478521,0.000001956054,0.000209319,0.004579199,0.4677921,0.5231638,0.0002822093,0.0001973782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974656,0.0009002962,0.001043481,0.00007694137,0.00001445747,0.0002859507,0.00001941042,0.00008131998,0.0001126064],"genre_scores_gemma":[0.9994481,0.0002320734,0.00009802574,0.00003926006,0.000009811934,0.00003809667,0.00001843485,0.00001281045,0.0001033539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3610896,"threshold_uncertainty_score":0.308291,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399806578","doi":"10.1002/adts.202400144","title":"A Web‐Based Architecture to Operationalize Geospatial Simulation Environments","year":2024,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Geospatial analysis; Operationalization; Architecture; Computer science; World Wide Web; Geography; Remote sensing; Physics; Archaeology","retraction":null,"screen_n_in":null,"score":{"opus":0.03410785986311698,"gpt":0.3982999362278562,"spread":0.3641920763647392,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008581509,0.0001677328,0.0001623095,0.0003455435,0.0003966167,0.0002918572,0.00021439,0.00007739975,0.0009672248],"category_scores_gemma":[0.0009798952,0.0001364206,0.0000793482,0.000742088,0.0000723205,0.0003531894,0.00006612564,0.0001325866,0.0001905239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003656965,"about_ca_system_score_gemma":0.00005316719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001164854,"about_ca_topic_score_gemma":0.000009730359,"domain_scores_codex":[0.9980515,0.0002153865,0.0004609352,0.000565797,0.0005283238,0.0001780556],"domain_scores_gemma":[0.9944999,0.004774826,0.00005392721,0.000448171,0.00007894192,0.000144237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003665392,0.00002185551,0.0001212915,0.000001873153,0.000006284336,7.963213e-7,0.0002597665,0.8210086,0.002122998,0.1030791,0.00003685363,0.07330392],"study_design_scores_gemma":[0.0002087304,0.0000351926,0.0008697606,0.00001615231,0.00001122853,7.79757e-7,0.0000432959,0.5705922,0.0004409347,0.2613544,0.1662857,0.0001416466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1509721,0.0001276082,0.8460118,0.001106402,0.0001061075,0.0005504005,0.0001551676,0.0001752526,0.0007952249],"genre_scores_gemma":[0.9870515,0.00000298702,0.009525119,0.0008717297,0.00008931499,0.00008088983,0.00006429711,0.00002127182,0.002292903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8364866,"threshold_uncertainty_score":0.999946,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389527256","doi":"10.1002/adts.202300600","title":"Modulating Optical Properties of Graphene with the help of Two‐Dimensional Metal‐Organic Networks","year":2023,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Graphene research and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Graphene; Excitation; Materials science; Density functional theory; Modulation (music); Chemical physics; Ab initio; Thermal stability; Metal; Thermal; Molecular dynamics; Nanotechnology; Optoelectronics; Computational chemistry; Chemistry; Physics; Quantum mechanics; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.01761369355906125,"gpt":0.2723901258438136,"spread":0.2547764322847523,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000435865,0.00007151416,0.0001245589,0.00005267487,0.0002556362,0.00001058198,0.00009635978,0.00001836637,0.00004293919],"category_scores_gemma":[0.00008876941,0.00004142846,0.00002925998,0.0004795104,0.0003886958,0.0001140679,0.00006348542,0.00006187882,0.000002724235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002785932,"about_ca_system_score_gemma":0.00002241906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002876431,"about_ca_topic_score_gemma":0.000009985732,"domain_scores_codex":[0.9992633,0.0001063635,0.0001629096,0.0001402793,0.0001649159,0.0001621901],"domain_scores_gemma":[0.9989963,0.0005800966,0.00006775282,0.0001994756,0.0001136426,0.00004277644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004155763,0.00001485627,0.0001002943,0.000006539492,0.000009272948,1.377485e-7,0.00007231234,0.3910744,0.5033112,0.105071,8.014505e-7,0.0002976746],"study_design_scores_gemma":[0.0009264692,0.0001709768,0.005387946,0.0001012066,0.00007174206,0.000004596145,0.0006803533,0.1635588,0.6355079,0.1933701,0.0000189691,0.0002009878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916454,0.0002157945,0.007674948,0.0001407551,0.00001299912,0.0002050597,0.00001272946,0.00003290566,0.00005942203],"genre_scores_gemma":[0.9990821,0.0000092042,0.0007872561,0.00001349465,0.00001346175,0.00002374717,0.000006428232,0.000008644012,0.00005562608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2275156,"threshold_uncertainty_score":0.1966173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}