{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":8,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":8,"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":"2e447a7a03ac","filters":{"venue":"Frontiers in Health Informatics"}},"results":[{"id":"W4386086853","doi":"10.30699/fhi.v12i0.478","title":"Potentially Highly Effective Drugs for COVID-19: Virtual Screening and Molecular Docking Study Through PyRx-Vina Approach","year":2023,"lang":"en","type":"article","venue":"Frontiers in Health Informatics","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":13,"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":"Drug repositioning; DrugBank; Ritonavir; Virtual screening; Repurposing; Medicine; Drug; Lopinavir; Pharmacology; Biopharmaceutical; Drug discovery; Human immunodeficiency virus (HIV); Virology; Bioinformatics; Antiretroviral therapy; Viral load; Biology; Biotechnology","authors":[{"name":"Fatemeh Houshmand","is_ca":false},{"name":"Sara Houshmand","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03083495897453091,"gpt":0.3486654976289368,"spread":0.3178305386544059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004211497,0.0002448977,0.0004672494,0.0005022257,0.0004084164,0.0002408118,0.0006609659,0.0000775794,3.006566e-7],"category_scores_gemma":[0.0006828635,0.0002546796,0.00007580146,0.001254558,0.0000730075,0.001164723,0.000557862,0.0002705141,0.000002008952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003343288,"about_ca_system_score_gemma":0.000531871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001134944,"about_ca_topic_score_gemma":0.00000234068,"domain_scores_codex":[0.996953,0.0004663949,0.001025587,0.0003494374,0.000595822,0.0006097898],"domain_scores_gemma":[0.9980744,0.0007550076,0.0004251253,0.0004043693,0.00008312768,0.0002579617],"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":[0.00005526186,0.00009012827,0.001167929,0.0007838306,0.00006598629,0.000007349228,0.06814053,0.7629132,3.467985e-7,0.01658006,0.003089509,0.1471059],"study_design_scores_gemma":[0.001724271,0.0004225745,0.001391437,0.00005020949,0.000008066638,0.000006284345,0.01314549,0.9684289,0.00000694322,0.01096812,0.003598663,0.0002491049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02970217,0.0001305531,0.9651911,0.001051191,0.0008256499,0.002684137,0.00001705219,0.0002163543,0.0001817891],"genre_scores_gemma":[0.1320175,0.00002918798,0.8645703,0.002998103,0.00003944785,0.0002790203,0.00003440269,0.00002017125,0.00001195171],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2055157,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2912803128","doi":"10.30699/fhi.v8i1.171","title":"Hospital Management Based On Semantic Process Mining: A Systematic Review","year":2019,"lang":"en","type":"review","venue":"Frontiers in Health Informatics","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Process mining; Computer science; Process (computing); Data science; Field (mathematics); Biomedical text mining; Information retrieval; Business process; Data mining; Business process management; Work in process; Text mining; Engineering","authors":[{"name":"Majid Jangi","is_ca":false},{"name":"Fateme Moghbeli","is_ca":false},{"name":"Mahya Ghaffari","is_ca":true},{"name":"Alireza Vahedinemani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0748490966334845,"gpt":0.3450357988057556,"spread":0.2701867021722711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002128354,0.0008375337,0.004313911,0.001469679,0.0001428435,0.0003213818,0.001483878,0.0002707804,0.00004652587],"category_scores_gemma":[0.000379453,0.0006437268,0.0003767468,0.002159878,0.0000559352,0.001058399,0.0002305896,0.0005670627,0.0008811651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003697343,"about_ca_system_score_gemma":0.0003180258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001484055,"about_ca_topic_score_gemma":0.000001666866,"domain_scores_codex":[0.9935707,0.00005984594,0.004197012,0.0004113692,0.000932912,0.0008281993],"domain_scores_gemma":[0.9942919,0.00008991492,0.00410988,0.001311537,0.0001526478,0.00004409002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000002664037,0.00008086564,0.00002063356,0.8734398,0.00005524134,0.000006491045,0.00003846567,0.00003269441,3.523383e-12,0.0001706834,0.03683011,0.08932237],"study_design_scores_gemma":[0.000106257,0.00001765216,4.565453e-7,0.5429983,0.0005977422,0.000001883482,0.0001896669,0.009405558,8.584612e-10,0.00002275594,0.4462607,0.0003991252],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.580221e-7,0.9781125,0.00477189,0.0002463187,0.00300508,0.009729647,0.00002954624,0.0001216998,0.003983217],"genre_scores_gemma":[0.000002259008,0.9886863,0.002405089,0.006875777,0.0001869674,0.0008433685,0.0006423625,0.00008590559,0.0002719917],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4094305,"threshold_uncertainty_score":0.9998968,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997473456","doi":"10.30699/fhi.v8i1.213","title":"Developing an Intelligent System for Prediction of Optimal Dose of Warfarin in Iranian Adult Patients with Artificial Heart Valve","year":2019,"lang":"en","type":"article","venue":"Frontiers in Health Informatics","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":1,"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":"Warfarin; Artificial neural network; Mean absolute error; Multilayer perceptron; Medicine; Artificial intelligence; Perceptron; Computer science; Machine learning; Mean squared error; Cardiology; Mathematics; Statistics; Atrial fibrillation","authors":[{"name":"Maryam Aghazadeh","is_ca":false},{"name":"Azam Orooji","is_ca":false},{"name":"Mehran Haghighi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05307771902813976,"gpt":0.3164504841918946,"spread":0.2633727651637549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005445622,0.0001013827,0.0004732245,0.000307047,0.00002248741,0.000005581126,0.00005420268,0.00006808617,0.000001960707],"category_scores_gemma":[0.00005749647,0.00008606752,0.0000548998,0.0002624544,0.0000216996,0.0002151324,0.0000185356,0.00007881818,0.000001366983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109848,"about_ca_system_score_gemma":0.0001840995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004955199,"about_ca_topic_score_gemma":0.00001055808,"domain_scores_codex":[0.998031,0.00002988263,0.001394066,0.0000790936,0.0002615305,0.0002043873],"domain_scores_gemma":[0.9991108,0.00003013599,0.0004762526,0.0001600826,0.0001620869,0.00006065956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009424264,0.00002242554,0.9784413,0.005692728,0.00002805088,5.795802e-8,0.003779065,0.005941538,7.879789e-7,0.001099363,0.00006799972,0.003984278],"study_design_scores_gemma":[0.00581306,0.002154017,0.7610311,0.002237647,0.0000380253,8.595962e-7,0.01925885,0.2076174,0.0001785901,0.00007181193,0.001429226,0.0001694629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361851,0.00001944119,0.06045021,0.0001613338,0.0006640683,0.002412046,0.00003516393,0.00001967079,0.00005299864],"genre_scores_gemma":[0.8258424,0.0000151586,0.1738468,0.00009474497,0.00004214959,0.000007351128,0.0001282879,0.00001082166,0.00001233622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2174102,"threshold_uncertainty_score":0.3509732,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4377009227","doi":"10.30699/fhi.v12i0.398","title":"COVID-19 Information Dissemination Via Social Media: Content Analysis of Instagram Posts During the COVID-19 Outbreak","year":2023,"lang":"en","type":"article","venue":"Frontiers in Health Informatics","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"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":"Kerman University of Medical Sciences","keywords":"Social media; Content analysis; Information Dissemination; Public health; Joke; Descriptive statistics; Coronavirus disease 2019 (COVID-19); Coronavirus; Political science; Psychology; Medicine; Sociology; Social science; World Wide Web; Computer science; Nursing; Statistics","authors":[{"name":"Nazanin Jannati","is_ca":true},{"name":"Saber Amirzadeh Googhari","is_ca":false},{"name":"Sareh Keshvardoost","is_ca":false},{"name":"Atiyeh Vaezipour","is_ca":false},{"name":"Farzaneh Zolala","is_ca":false},{"name":"Simin Mehdipour","is_ca":false},{"name":"Maryam Hosseinnejad","is_ca":false},{"name":"Mozhgan Negarestani","is_ca":false},{"name":"Farhad Fatehi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06908424431772228,"gpt":0.3816734777713052,"spread":0.3125892334535829,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005297392,0.0001659443,0.0004661447,0.001743977,0.001236854,0.0001412033,0.000425451,0.0001898818,0.00008545251],"category_scores_gemma":[0.007927317,0.0001389058,0.000145274,0.004455026,0.0003082442,0.001922049,0.00008214959,0.0002536699,0.00002532708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001955105,"about_ca_system_score_gemma":0.001847815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00210502,"about_ca_topic_score_gemma":0.002201406,"domain_scores_codex":[0.9959129,0.0002866828,0.001993061,0.00007541489,0.001137097,0.0005948559],"domain_scores_gemma":[0.9969088,0.0004992163,0.001440011,0.0002295253,0.0001992647,0.0007231349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000600683,0.00002313975,0.01037334,0.0008534426,0.0001078749,4.98726e-7,0.9124321,0.0038481,3.770834e-7,0.003033131,0.04802263,0.02124527],"study_design_scores_gemma":[0.001314498,0.00004751075,0.08472347,0.00004043341,0.00008857519,0.000001790625,0.6830741,0.07046474,0.000005048128,0.000646074,0.1592623,0.0003314447],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.643106,0.0002168498,0.2260859,0.1039563,0.005546724,0.005665412,0.001563533,0.001181253,0.01267793],"genre_scores_gemma":[0.9850293,0.0009036441,0.00100005,0.01196254,0.00008013906,0.00003013993,0.0008069747,0.000009269314,0.0001779428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3419232,"threshold_uncertainty_score":0.9513004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4398171223","doi":"10.30699/fhi.v13i0.615","title":"Evaluation of mHealth Interventions in Wound Care: A Systematic Review Highlighting the Involvement of Informal Caregivers","year":2024,"lang":"en","type":"review","venue":"Frontiers in Health Informatics","topic":"Pressure Ulcer Prevention and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"mHealth; Psychological intervention; Wound care; Systematic review; Medicine; Nursing; Psychology; MEDLINE; Intensive care medicine; Political science","authors":[{"name":"Giannis Polychronis","is_ca":false},{"name":"Μαρία Νούλα","is_ca":false},{"name":"Christos Petrou","is_ca":false},{"name":"Ζωή Ρούπα","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1697847512842698,"gpt":0.4844179428268143,"spread":0.3146331915425445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02974541,0.0004344785,0.003737872,0.001347125,0.000201334,0.00001449265,0.000796928,0.0002990818,0.00004500623],"category_scores_gemma":[0.001060454,0.000292287,0.0006872941,0.001475855,0.00008200551,0.0002820852,0.0004806473,0.001403661,0.00002912002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002928248,"about_ca_system_score_gemma":0.004367222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000483039,"about_ca_topic_score_gemma":0.0008499657,"domain_scores_codex":[0.9808378,0.004724039,0.01192483,0.0002187185,0.001608114,0.0006865319],"domain_scores_gemma":[0.9906209,0.0003199718,0.007416352,0.0009440841,0.0005777346,0.0001209284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000002187701,0.00003292798,0.00001245292,0.9132032,0.0002446958,3.156944e-7,0.02099299,0.0000259858,1.031474e-10,0.0007490169,0.01193084,0.05280539],"study_design_scores_gemma":[0.0004198203,0.00005610283,0.00000533988,0.7316439,0.00345469,6.818796e-7,0.02268476,0.0007035394,3.910953e-9,0.000078574,0.2408058,0.0001468003],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001041087,0.9683588,0.0009421935,0.0002084692,0.002718921,0.02524755,0.0001168297,0.00003228574,0.002373875],"genre_scores_gemma":[0.00002679137,0.9944432,0.001106907,0.0004308526,0.000032516,0.003441781,0.000244381,0.0000334998,0.0002401014],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.228875,"threshold_uncertainty_score":0.9999529,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3170263647","doi":"10.30699/fhi.v10i1.281","title":"Evaluation of the effect of informing patients through text messaging on antibiotic prescription by physicians in outpatient setting: a study protocol","year":2021,"lang":"en","type":"article","venue":"Frontiers in Health Informatics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Mashhad University of Medical Sciences","keywords":"Medical prescription; Medicine; Antibiotics; Randomized controlled trial; Family medicine; Randomization; Protocol (science); Outpatient clinic; Antibiotic resistance; Intervention (counseling); Alternative medicine; Pediatrics; Internal medicine; Nursing","authors":[{"name":"Hasan Vakili-Arki","is_ca":false},{"name":"Ehsan Nabovati","is_ca":false},{"name":"Mohammad Reza Saberi","is_ca":false},{"name":"Pourya Eslami","is_ca":true},{"name":"Zhila Taherzadeh","is_ca":false},{"name":"Saeid Eslami","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01180062497969371,"gpt":0.2982997334691752,"spread":0.2864991084894815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001821643,0.0001408617,0.0004034753,0.00009629224,0.00009111979,0.000005621398,0.0001531438,0.0001103887,0.000003825408],"category_scores_gemma":[0.0003432544,0.0001006244,0.00005193893,0.0003487333,0.00007833936,0.0001771085,0.00006578927,0.0002869909,0.000001900816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000246675,"about_ca_system_score_gemma":0.0002086108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008846575,"about_ca_topic_score_gemma":0.00003613355,"domain_scores_codex":[0.9973363,0.0008379424,0.001199074,0.0001067422,0.0002548022,0.0002651434],"domain_scores_gemma":[0.9985728,0.00006823431,0.0009160776,0.0002876941,0.0001465997,0.000008573761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002310438,0.0009998415,0.918781,0.002513878,0.00008878041,1.887002e-7,0.03205931,0.001452592,0.0001380511,0.00001688474,0.003319104,0.04039933],"study_design_scores_gemma":[0.04277688,0.01001891,0.6961243,0.0136615,0.0002806213,0.000002738618,0.06893547,0.0108191,0.1505112,0.000137173,0.006000453,0.0007316902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635096,0.000164576,0.0001935937,0.00004536142,0.0005803801,0.03471713,0.00001850973,0.000007890873,0.0007629688],"genre_scores_gemma":[0.9988338,0.000009127823,0.0002537638,0.0001066446,0.0000029581,0.0007186591,0.00002892761,0.000007726701,0.00003837158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2226567,"threshold_uncertainty_score":0.4103344,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386085424","doi":"10.30699/fhi.v12i0.481","title":"Electronic and Structural Properties of Core-Shell Amino-Silica Nanoparticles: DFT And SCC-DFTB Calculation","year":2023,"lang":"en","type":"article","venue":"Frontiers in Health Informatics","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Nanoclusters; Surface modification; Nanoparticle; Density functional theory; Materials science; Methylamine; Nanotechnology; Electronic structure; Computational chemistry; Chemistry; Physical chemistry; Organic chemistry","authors":[{"name":"Fatemeh Houshmand","is_ca":false},{"name":"Jeremy Schofield","is_ca":true},{"name":"Zahra Moafi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01584932214730541,"gpt":0.2656020810898008,"spread":0.2497527589424954,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005047769,0.0001050822,0.0002096701,0.00005579136,0.00007201597,0.00001233723,0.00006233159,0.0000555899,0.000004878672],"category_scores_gemma":[0.00005509597,0.0000912655,0.00002332138,0.0001791544,0.0001187245,0.000165987,0.00005123594,0.0001955893,0.000001820194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008395453,"about_ca_system_score_gemma":0.00004894399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002987565,"about_ca_topic_score_gemma":0.00000474226,"domain_scores_codex":[0.9989373,0.000007949946,0.0005320486,0.00008756937,0.0001303933,0.0003047526],"domain_scores_gemma":[0.9995599,0.00002490829,0.0001716567,0.0001223383,0.00003008566,0.00009110251],"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":[0.0007677809,0.0002502369,0.1071295,0.0239186,0.0002617711,0.000005628187,0.03529119,0.005428907,0.5907964,0.007580298,0.00693251,0.2216372],"study_design_scores_gemma":[0.001551289,0.0001705684,0.00334728,0.000735776,0.00002607666,0.00001584641,0.006173849,0.6816468,0.2861559,0.01216433,0.007524114,0.0004881284],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989421,0.0003619199,0.0002412973,0.0001242377,0.00005902276,0.00009590627,0.00001242063,0.00004189019,0.0001212224],"genre_scores_gemma":[0.9979588,0.0002502817,0.001538379,0.0001036585,0.00001680288,0.00001386763,0.00002533157,0.000008674275,0.00008415874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6762179,"threshold_uncertainty_score":0.3721699,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411505645","doi":"10.63682/fhi1586","title":"Study To Compare And Correlate The Effect On Iron Deficiency Anaemia On Cognition In Young Adult Females","year":2024,"lang":"en","type":"article","venue":"Frontiers in Health Informatics","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Iron deficiency; Medicine; Cognition; Ferritin; Anemia; Population; Hemoglobin; Pediatrics; Demography; Physiology; Internal medicine; Environmental health; Psychiatry","authors":[{"name":"Umme Kulsoom Sheema","is_ca":false},{"name":"Alka Rawekar","is_ca":false},{"name":"Satish Patil","is_ca":false},{"name":"Shivanand Shivanand","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01643621626158407,"gpt":0.3091932742670593,"spread":0.2927570580054752,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007504419,0.0001607648,0.0003258799,0.0004098553,0.00009920861,0.00003956936,0.00007158131,0.00003709636,0.000002865527],"category_scores_gemma":[0.00017895,0.0001075051,0.00002473346,0.0004118035,0.00004425044,0.00009529455,0.00002546581,0.0004188374,0.00003271156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001375731,"about_ca_system_score_gemma":0.00007847177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002233404,"about_ca_topic_score_gemma":0.0002778935,"domain_scores_codex":[0.9985234,0.000115687,0.0006241662,0.0001289455,0.0002978858,0.0003099193],"domain_scores_gemma":[0.9994901,0.000109708,0.0000757165,0.0001918307,0.00001877669,0.0001138337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007773715,0.0002907364,0.8445821,0.004706228,0.00000836021,0.00002600461,0.07818259,0.001603405,3.153324e-7,0.0006000429,0.01071024,0.05851265],"study_design_scores_gemma":[0.003941085,0.005081611,0.8950964,0.002020795,0.00006393199,0.0000185563,0.07664213,0.01616852,0.0000069899,0.000107694,0.0006035268,0.0002488224],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915761,0.00107104,0.0004824806,0.0007560257,0.00110254,0.002074116,0.00001286795,0.00004182943,0.00288303],"genre_scores_gemma":[0.996985,0.000260949,0.0006067467,0.001984005,0.00002725324,0.00005711154,0.00002631066,0.00001261862,0.00003997584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05826382,"threshold_uncertainty_score":0.4383932,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}