{"id":"W2769924089","doi":"10.1002/bdr2.1134","title":"Editorial In Bed with The Devil: Recognizing Human Teratogenic Exposures","year":2017,"lang":"en","type":"editorial","venue":"Birth Defects Research","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epidemiology; Pregnancy; Teratology; Medicine; Psychology; Gestation; Biology; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006652393,0.003100974,0.003563222,0.003391303,0.002657173,0.007088695,0.00498409,0.01558495,0.01409663],"category_scores_gemma":[0.04302172,0.001324072,0.002707813,0.0014855,0.004616445,0.006360749,0.001717475,0.02615626,0.01423984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002631444,"about_ca_system_score_gemma":0.003296929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002385981,"about_ca_topic_score_gemma":0.003034198,"domain_scores_codex":[0.9939481,0.0009587174,0.0007846008,0.0009981318,0.002962064,0.0003482993],"domain_scores_gemma":[0.9626634,0.0179392,0.001986719,0.0009809833,0.01317085,0.003258958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002043989,0.000008038946,0.00004005266,0.0002008667,0.00001209812,0.0001218831,0.00002374248,0.0000193588,0.00002215993,0.0003365226,0.9963181,0.002876676],"study_design_scores_gemma":[0.00003578395,0.00004414781,0.0003837229,0.001181795,0.00005817538,0.0009473776,0.0001455287,0.0001710259,0.0001646233,0.001875338,0.9949481,0.00004437766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005002012,0.004841856,0.0001393354,0.06073452,0.9330778,0.00001725951,0.00008180123,0.00006780493,0.0009896129],"genre_scores_gemma":[0.0005473896,0.00355075,0.00008599988,0.03038991,0.9623664,0.00001518598,0.00002623807,0.0000301222,0.002987995],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01558495,"threshold_uncertainty_score":0.047158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07261973688346825,"score_gpt":0.4226493636614559,"score_spread":0.3500296267779877,"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."}}