{"id":"W2395230841","doi":"","title":"Cost effectiveness of teratology counseling - the Motherisk experience.","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Pregnancy; Reproductive medicine; Cost effectiveness; Family medicine; Health economics; Pediatrics; Obstetrics; Public health; Nursing; Risk analysis (engineering)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001876314,0.0002803435,0.0002681792,0.000989981,0.0002408205,0.0009914809,0.0004811287,0.0003914825,0.003582685],"category_scores_gemma":[0.009665431,0.0001410409,0.0007815634,0.001086774,0.0002798047,0.0005060968,0.0006022362,0.0004088822,0.0001511803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00725475,"about_ca_system_score_gemma":0.003464541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03863198,"about_ca_topic_score_gemma":0.05278673,"domain_scores_codex":[0.9981549,0.0008601272,0.0001148985,0.0001121443,0.0005728152,0.0001849969],"domain_scores_gemma":[0.9961684,0.001673352,0.00130583,0.00009030081,0.000327078,0.0004350097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002309597,0.0005381611,0.7608464,0.001425918,0.001105372,0.0007852748,0.0003753809,0.05214191,0.0003833116,0.003690735,0.006176948,0.170221],"study_design_scores_gemma":[0.0003526533,0.003230316,0.9079277,0.001092979,0.001651229,0.002886447,0.001478692,0.06073618,0.001997476,0.002640388,0.01592688,0.00007905163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726351,0.007074403,0.002035707,0.001692192,0.00005636743,0.0002825446,0.004126872,0.00003883757,0.012058],"genre_scores_gemma":[0.9963644,0.001017695,0.001116595,0.00006740837,0.00001316596,0.00004203386,0.0007128501,0.000004817461,0.0006611546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03863198,"threshold_uncertainty_score":0.07681423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03742143001460128,"score_gpt":0.3008092399652494,"score_spread":0.2633878099506481,"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."}}