{"id":"W3088651212","doi":"10.1038/s41591-020-1091-1","title":"The importance of generating more data on cannabis use in pregnancy","year":2020,"lang":"en","type":"letter","venue":"Nature Medicine","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Cannabis; Legalization; Offspring; Pregnancy; In utero; Medicine; Psychiatry; Biology; Fetus; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01282888,0.0006558235,0.00168795,0.001200052,0.004832257,0.004442414,0.002569721,0.07174951,0.005282927],"category_scores_gemma":[0.1159456,0.0009405562,0.00126333,0.001210511,0.003523767,0.004833528,0.002773375,0.04995754,0.00412202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005328656,"about_ca_system_score_gemma":0.01412091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02215648,"about_ca_topic_score_gemma":0.0265236,"domain_scores_codex":[0.9871861,0.005497903,0.002309252,0.0009145759,0.002903368,0.001188833],"domain_scores_gemma":[0.8744505,0.09221981,0.005028226,0.002947606,0.01188627,0.01346759],"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":[0.0001255499,0.0001008339,0.005379791,0.0002210696,0.00004390135,0.006440249,0.00064946,0.0001399484,0.0005121633,0.004525102,0.9585573,0.02330458],"study_design_scores_gemma":[0.0002933481,0.0003455573,0.01022993,0.002385669,0.0001372545,0.007359714,0.003220266,0.00152862,0.0007319459,0.02989,0.9436449,0.0002326649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004577986,0.0003461007,0.00008169101,0.988388,0.009326294,0.00001077008,0.00009753683,0.000013569,0.001278275],"genre_scores_gemma":[0.004715844,0.0009562794,0.0004665541,0.9657169,0.02528288,0.00006960003,0.00006370264,0.00001982167,0.002708451],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07174951,"threshold_uncertainty_score":0.06784648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933657566834999,"score_gpt":0.3061958177841079,"score_spread":0.2768592421157579,"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."}}