{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":7,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":7,"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","author_layer_release":"2026-06-26"},"query_hash":"20dbb1ddfb5d","filters":{"venue":"Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography"}},"results":[{"id":"W2884473836","doi":"10.21611/qirt.2018.p27","title":"Application of Deep Learning in Infrared Non-Destructive Testing","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Universidad de Oviedo; Université Laval","keywords":"Computer science; Infrared; Deep learning; Artificial intelligence; Optics; Physics","authors":[{"name":"Bardia Yousefi","is_ca":true},{"name":"Davood Kalhor","is_ca":true},{"name":"Rubén Usamentiaga","is_ca":false},{"name":"Lin Lei","is_ca":true},{"name":"Clemente Ibarra‐Castanedo","is_ca":true},{"name":"Xavier Maldague","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03236050638024989,"gpt":0.2732233282198822,"spread":0.2408628218396323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006208681,0.0005696983,0.0002870024,0.0005205299,0.0001284952,0.000527354,0.0006741738,0.0005626305,0.001071774],"category_scores_gemma":[0.001444761,0.0002274839,0.0002823946,0.0005071085,0.0004009395,0.0005083491,0.0005936006,0.000496775,0.0003395304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005801677,"about_ca_system_score_gemma":0.0004766165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002550835,"about_ca_topic_score_gemma":0.003204085,"domain_scores_codex":[0.9997299,0.00005760731,0.00001214507,0.00005661367,0.0001081937,0.00003543807],"domain_scores_gemma":[0.9994055,0.0002773535,0.00006448807,0.00007748346,0.0001504675,0.00002475042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001523951,0.0001484463,0.005827945,0.0002084693,0.00009138383,0.0001927105,0.00007321814,0.3349286,0.0532623,0.009734686,0.002362552,0.5930173],"study_design_scores_gemma":[0.000003838184,0.00004771641,0.001277141,0.00001541084,0.000009655711,0.00007276377,0.00001192347,0.9750455,0.0174884,0.004515725,0.001504481,0.000007325557],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06648377,0.001477294,0.9255694,0.0003813646,0.00007068912,0.00004475431,0.0001805048,0.001500456,0.004291764],"genre_scores_gemma":[0.8374991,0.0007313415,0.1567664,0.0002013479,0.00004238482,0.00004968618,0.0003186197,0.00007453175,0.004316531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002550835,"threshold_uncertainty_score":0.005071998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883229900","doi":"10.21611/qirt.2018.051","title":"Université Laval Face Motion and Time-Lapse Video Database (UL-FMTV)","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography","topic":"Face recognition and analysis","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Face (sociological concept); Motion (physics); Computer vision; Computer graphics (images); Artificial intelligence; Database","authors":[{"name":"Reza Shoja Ghiass","is_ca":true},{"name":"Hakim Bendada","is_ca":true},{"name":"Xavier Maldague","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02940590984648331,"gpt":0.2627325564900136,"spread":0.2333266466435303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000723255,0.001194315,0.001123024,0.00318362,0.0005060319,0.0007804713,0.00143105,0.000805063,0.01348674],"category_scores_gemma":[0.002216041,0.0001999307,0.0004953468,0.001853415,0.0002404438,0.0007402262,0.001000502,0.0005402291,0.01158064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006158293,"about_ca_system_score_gemma":0.0009363341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01955539,"about_ca_topic_score_gemma":0.01879626,"domain_scores_codex":[0.9993827,0.00007737815,0.00006151923,0.0001716266,0.0002242467,0.00008253445],"domain_scores_gemma":[0.999188,0.0001068642,0.00007481645,0.0002317815,0.000322356,0.00007616717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001661956,0.0006657378,0.01129638,0.001153527,0.0001628377,0.00064837,0.0001754028,0.001620484,0.01395284,0.002000666,0.7088174,0.2578444],"study_design_scores_gemma":[0.0005787615,0.0006530235,0.1513365,0.0006276345,0.0002319425,0.004438384,0.0005596385,0.03161471,0.02343105,0.002479358,0.7837887,0.0002602889],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1053555,0.00796622,0.02574761,0.0006093502,0.0006290628,0.001232874,0.8245212,0.01026916,0.02366894],"genre_scores_gemma":[0.06302655,0.001363448,0.02279021,0.0001561494,0.0001399786,0.001108616,0.9040768,0.0002550531,0.007083177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01955539,"threshold_uncertainty_score":0.04511768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884233295","doi":"10.21611/qirt.2018.107","title":"Rail inspection using active thermography to detect rolled-in material","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Thermography; Computer science; Computer vision; Artificial intelligence; Optics; Infrared; Physics","authors":[{"name":"Rubén Usamentiaga","is_ca":true},{"name":"Стефано Сфарра","is_ca":false},{"name":"Julien Fleuret","is_ca":false},{"name":"B. Yousefi","is_ca":false},{"name":"Daniel Dalmau García","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03266786299376405,"gpt":0.2817150833475895,"spread":0.2490472203538254,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002778563,0.000385677,0.0002269648,0.0005183801,0.0001092449,0.0004220999,0.0004236262,0.0004492501,0.001286098],"category_scores_gemma":[0.000482434,0.0002258992,0.0001542954,0.0002656276,0.0003385297,0.0005045107,0.0002758774,0.000247595,0.0003791172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584731,"about_ca_system_score_gemma":0.0001263708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003099836,"about_ca_topic_score_gemma":0.0005780791,"domain_scores_codex":[0.9997229,0.00004106447,0.000008136137,0.0000691478,0.0001393046,0.000019497],"domain_scores_gemma":[0.9996589,0.0001251521,0.00007835105,0.00003885122,0.00008741208,0.00001132097],"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":[0.00009546123,0.00002645968,0.0007070114,0.00008690519,0.000005893164,0.00004015331,0.00005983402,0.0005483326,0.983301,0.0001274067,0.00008404332,0.01491751],"study_design_scores_gemma":[0.00001458475,0.0004854593,0.007787959,0.000022918,0.00003975047,0.0003270276,0.00006919797,0.02420061,0.9649612,0.0001196691,0.001947329,0.00002431015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7478124,0.001961237,0.2439734,0.00008367317,0.0001023032,0.00009467534,0.000101957,0.001152996,0.004717131],"genre_scores_gemma":[0.9611914,0.0004402264,0.03627804,0.00003647108,0.0000184163,0.00001746111,0.00004788902,0.00004724365,0.001922784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001286098,"threshold_uncertainty_score":0.004302382,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884948661","doi":"10.21611/qirt.2018.080","title":"Comparative study of Line Scan and Flying Line Active IR Thermography operated with a 6-axis robot","year":2018,"lang":"en","type":"preprint","venue":"Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermography; Line (geometry); Robot; Computer vision; Computer science; Artificial intelligence; Infrared; Optics; Physics; Mathematics","authors":[{"name":"Yacine Mokhtari","is_ca":true},{"name":"Ludovic Gavérina","is_ca":false},{"name":"C. Ibarra-Castanedo","is_ca":true},{"name":"M. Klein","is_ca":false},{"name":"Pierre Servais","is_ca":false},{"name":"Jean Dumoulin","is_ca":false},{"name":"Xavier Maldague","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1125848707675337,"gpt":0.3370620336690799,"spread":0.2244771629015462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005605566,0.0004280495,0.0003181685,0.0008514224,0.0001671799,0.0003895638,0.0006204749,0.0005018445,0.001516394],"category_scores_gemma":[0.001761756,0.0002164867,0.0002417004,0.0005127874,0.0004228421,0.000697037,0.0002709572,0.0003006244,0.0003679288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001716345,"about_ca_system_score_gemma":0.0001946397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003993985,"about_ca_topic_score_gemma":0.0006682299,"domain_scores_codex":[0.9993864,0.0001073259,0.0000152846,0.0001168546,0.0003257903,0.00004831923],"domain_scores_gemma":[0.9980054,0.0007823776,0.0002955644,0.0003169003,0.0005475065,0.00005221109],"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":[0.0008065278,0.0001042524,0.004967398,0.000465105,0.00004631961,0.0002146484,0.0006366269,0.006068755,0.8390952,0.0009054797,0.0003388017,0.1463509],"study_design_scores_gemma":[0.00003933598,0.003014397,0.05338517,0.0000387429,0.00008805806,0.001830171,0.0005701672,0.07198319,0.863483,0.0004524818,0.005005289,0.0001101236],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7863199,0.001112144,0.208413,0.00005128023,0.00003474546,0.00008587813,0.0001421903,0.001000492,0.002840438],"genre_scores_gemma":[0.866354,0.0004247333,0.1307896,0.00002568598,0.00002076978,0.0000449203,0.0001571891,0.0001338139,0.00204919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001516394,"threshold_uncertainty_score":0.005072892,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884849132","doi":"10.21611/qirt.2018.p40","title":"Thermal Diffusivity Measurements With Flash Method at Different Depths In a Burned Composite Material","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Thermal diffusivity; Flash (photography); Laser flash analysis; Composite number; Materials science; Thermal; Composite material; Geology; Thermal conductivity; Optics; Thermodynamics; Physics","authors":[{"name":"S.-O. Gnessougou","is_ca":true},{"name":"Nicolas Poulin","is_ca":false},{"name":"Clemente Ibarra‐Castanedo","is_ca":true},{"name":"Xavier Maldague","is_ca":true},{"name":"Alain De Champlain","is_ca":false},{"name":"Étienne Robert","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03662206256560369,"gpt":0.2795758192045293,"spread":0.2429537566389257,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001294372,0.0003127547,0.0002438872,0.0003149456,0.0002027564,0.000209991,0.0002107162,0.0002513437,0.001091463],"category_scores_gemma":[0.0001919756,0.0002194234,0.000141103,0.0002728395,0.0002680634,0.0003424975,0.0001336998,0.0004038531,0.0001550307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002799714,"about_ca_system_score_gemma":0.0001660616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009427089,"about_ca_topic_score_gemma":0.001985533,"domain_scores_codex":[0.9999086,0.000004205032,0.000004300066,0.00003519014,0.00003271189,0.00001504602],"domain_scores_gemma":[0.9998264,0.0000439359,0.00003877814,0.00001591688,0.00005832813,0.00001678335],"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":[0.0000460416,0.000004796231,0.0001780009,0.00001362737,0.000001427875,0.00001616342,0.00002992809,0.00008183988,0.9991142,0.00001639127,0.000008210446,0.0004893192],"study_design_scores_gemma":[0.00000284652,0.00006523549,0.002695793,0.000001941721,0.000006146741,0.00004209012,0.00004268915,0.0007949792,0.9960991,0.00001113936,0.0002327036,0.000005227822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935673,0.0002560226,0.005117377,0.00001731405,0.00001063596,0.000009568505,0.0002006138,0.00005844312,0.000762779],"genre_scores_gemma":[0.9916593,0.0001985575,0.006591021,0.00001182143,0.00000257447,0.00002048032,0.00010665,0.00002089064,0.001388539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001091463,"threshold_uncertainty_score":0.003651261,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2883935080","doi":"10.21611/qirt.2018.097","title":"Infrared and Terahertz time-domain imaging for evaluation of impacted thick homogeneous particleboards of sugarcane bagasse","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Terahertz radiation; Bagasse; Homogeneous; Materials science; Infrared; Composite material; Time domain; Optoelectronics; Optics; Pulp and paper industry; Computer science; Engineering; Physics","authors":[{"name":"H. Zhang","is_ca":true},{"name":"Стефано Сфарра","is_ca":false},{"name":"Ahmed Osman","is_ca":false},{"name":"Klaus Szielasko","is_ca":false},{"name":"Christopher Stumm","is_ca":false},{"name":"Fabrizio Sarasini","is_ca":false},{"name":"Xavier Maldague","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03954581470239454,"gpt":0.3316458836066078,"spread":0.2921000689042133,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002172569,0.0004315291,0.0001918737,0.0008368008,0.0001460447,0.000360428,0.0001810184,0.0003598433,0.0006746449],"category_scores_gemma":[0.0002354539,0.0001467868,0.0001727523,0.0005804094,0.000214736,0.000366035,0.000149504,0.0003261732,0.0001629889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978713,"about_ca_system_score_gemma":0.0001535085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319765,"about_ca_topic_score_gemma":0.002984784,"domain_scores_codex":[0.9998778,0.000008795269,0.000004558289,0.00002681706,0.00006405773,0.00001801898],"domain_scores_gemma":[0.999861,0.00003386376,0.0000375239,0.00001117407,0.00004282578,0.00001360488],"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":[0.00005468472,0.000008908199,0.001017225,0.00006248998,0.00000796957,0.00004570932,0.00004433693,0.0002730575,0.9938294,0.00003067014,0.00001654057,0.004609024],"study_design_scores_gemma":[0.000002901338,0.00009959655,0.02847973,0.000009987624,0.00004445131,0.0002422183,0.0002558272,0.003805556,0.9660157,0.00004018282,0.0009879543,0.00001581206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735996,0.002893137,0.02171842,0.00004339208,0.00002709923,0.00002572546,0.0002815253,0.000142749,0.001268499],"genre_scores_gemma":[0.9718499,0.00198537,0.02419885,0.00004934338,0.00001336559,0.00002869018,0.0002024379,0.00004168218,0.001630401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001319765,"threshold_uncertainty_score":0.002624154,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2885017942","doi":"10.21611/qirt.2018.067","title":"Assessment of Oxide Descaler Functionality in a Steel Hot Strip Mill Using Infrared Video Imaging","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Infrared; Mill; Computer science; Oxide; Materials science; Metallurgy; Optics; Mechanical engineering; Engineering; Physics","authors":[{"name":"J. B. Wiskel","is_ca":true},{"name":"A. Linchieh","is_ca":true},{"name":"H. Henein","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06462084054497369,"gpt":0.3149399014611066,"spread":0.2503190609161329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003656902,0.0002058115,0.0001354939,0.0004675747,0.0001490767,0.000303269,0.0002798975,0.0002334787,0.001095997],"category_scores_gemma":[0.0006262005,0.0002028111,0.0001114053,0.000255021,0.0002568862,0.0002971627,0.0001782739,0.0004014661,0.0002135778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700494,"about_ca_system_score_gemma":0.0001532402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008742477,"about_ca_topic_score_gemma":0.002280352,"domain_scores_codex":[0.999806,0.0000114756,0.000009812886,0.00003238498,0.0001188638,0.00002157416],"domain_scores_gemma":[0.9994342,0.0001633484,0.0001355453,0.00004996624,0.0001731711,0.00004379716],"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":[0.0001359032,0.00002397744,0.001425045,0.00003605071,0.000002465537,0.0001251247,0.0001047641,0.0002502384,0.9925211,0.00006457385,0.00004585745,0.005264823],"study_design_scores_gemma":[0.00001037927,0.0006750191,0.04255173,0.00001249801,0.00001439078,0.0003756811,0.0002464764,0.007968052,0.9471064,0.00005674977,0.0009612694,0.00002133196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890181,0.0001570811,0.009553834,0.00001695029,0.000009761218,0.00002277296,0.00009902863,0.0001117353,0.001010767],"genre_scores_gemma":[0.9813483,0.0001938483,0.01617794,0.00001742232,0.000004861824,0.00001773072,0.0001291962,0.00003341803,0.002077163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001095997,"threshold_uncertainty_score":0.00366652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}