{"id":"W6983221999","doi":"","title":"A longitudinal analysis of the predictors and consequences of prenatal antidepressant use among women requiring these medications before pregnancy","year":2015,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pregnancy; Discontinuation; Medical prescription; Antidepressant; Depression (economics); Cohort study; Confounding; Drugs in pregnancy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009971581,0.0001829724,0.0002174559,0.000595381,0.0007684441,0.0004623618,0.0004517389,0.0005648066,0.0009856462],"category_scores_gemma":[0.004187096,0.0002787253,0.0005132126,0.001087995,0.0001702332,0.0004177703,0.0003880467,0.0009373128,0.0001387655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486414,"about_ca_system_score_gemma":0.001800195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2831927,"about_ca_topic_score_gemma":0.2478597,"domain_scores_codex":[0.9994107,0.0001516159,0.00004202035,0.0001309867,0.00008894486,0.0001755625],"domain_scores_gemma":[0.9975178,0.0004760717,0.0008762456,0.0002594537,0.0003993835,0.0004709813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007114078,0.00002597401,0.9988813,0.000002952139,0.00004468039,0.00003323976,0.00006898155,0.00002039898,0.00006599808,0.00001761523,0.0000965207,0.0006712313],"study_design_scores_gemma":[0.000003489858,0.00004407921,0.9994962,0.000005373527,0.0000229726,0.00003623485,0.0001045509,0.0001643024,0.00001308797,0.000006710615,0.0001006634,0.000002383356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983124,0.0002627059,0.00008217061,0.000148752,0.00000655106,0.00001095686,0.0009158944,0.000003117083,0.0002573811],"genre_scores_gemma":[0.9988208,0.0001821151,0.0000876624,0.00004858916,0.000004956463,0.00001683569,0.0006220949,0.000001226946,0.0002155863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2831927,"threshold_uncertainty_score":0.5630887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0236750323495992,"score_gpt":0.25314014150757,"score_spread":0.2294651091579708,"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."}}