{"id":"W4251602153","doi":"10.1002/bdra.23519","title":"56th Annual Teratology Society Meeting","year":2016,"lang":"en","type":"article","venue":"Birth Defects Research Part A Clinical and Molecular Teratology","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Teratology; Citation; Medicine; Library science; Computer science; Biology; Pregnancy; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002531923,0.000212101,0.0006963653,0.0001099321,0.0001980684,0.00003424152,0.0001752514,0.0004500735,0.00007778141],"category_scores_gemma":[0.009045769,0.0001299581,0.000294365,0.0002488054,0.001324815,0.00006277554,0.0004275799,0.0007138523,0.0001633492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001708983,"about_ca_system_score_gemma":0.0002380045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002209632,"about_ca_topic_score_gemma":0.00001813317,"domain_scores_codex":[0.9959145,0.001272232,0.0006858516,0.0007808029,0.0004477456,0.0008989278],"domain_scores_gemma":[0.9949069,0.003431563,0.00008665815,0.0005028596,0.0004120433,0.0006600012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008850506,0.000530411,0.878133,0.0001775891,0.000337506,0.002758897,0.0001341611,3.146014e-7,0.007604074,0.0103171,0.04585801,0.05326387],"study_design_scores_gemma":[0.01400001,0.007191676,0.1057238,0.001154852,0.0001714979,0.001934604,0.0002040786,0.0002030937,0.01708948,0.004358795,0.8471555,0.0008126066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9866691,0.00152491,0.001027621,0.007047751,0.0001939001,0.0004238009,0.00004732381,0.00009368807,0.002971917],"genre_scores_gemma":[0.9940142,0.0009104352,0.001380187,0.002750511,0.0002666738,0.00005627727,0.00001625168,0.00002943877,0.0005759957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8012975,"threshold_uncertainty_score":0.9993014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07575398445847914,"score_gpt":0.4220102258684152,"score_spread":0.3462562414099361,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}