{"id":"W2116730164","doi":"10.11575/prism/26463","title":"Impact of prenatal screening on future resource utilization in pregnancy","year":2012,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pregnancy; Resource (disambiguation); Medicine; Obstetrics; Computer science; Biology; Genetics","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":[0.001339504,0.0002118627,0.0002058484,0.0008615288,0.0004040479,0.001386605,0.0006626406,0.0003741015,0.001305425],"category_scores_gemma":[0.006903368,0.0001914229,0.0007417129,0.001834495,0.0004367156,0.0004146913,0.0007877793,0.0005565738,0.00007772673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009921311,"about_ca_system_score_gemma":0.007310754,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5654055,"about_ca_topic_score_gemma":0.5582559,"domain_scores_codex":[0.9981906,0.0006914899,0.000118797,0.0001128848,0.000420345,0.0004658245],"domain_scores_gemma":[0.9977115,0.0007269516,0.0007460646,0.00009046037,0.0004061879,0.0003188474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001021638,0.00005586824,0.9760979,0.00004652261,0.0001710669,0.0002578195,0.0003233507,0.006210733,0.0001793793,0.001802251,0.0003860228,0.01436694],"study_design_scores_gemma":[0.000003561376,0.00004572847,0.9898296,0.00006292224,0.00005726841,0.0001914451,0.0005610948,0.007827594,0.0001193963,0.0004283397,0.0008634973,0.000009554306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895466,0.001977282,0.0006353032,0.002138898,0.00002187664,0.00004146586,0.001789788,0.00001469062,0.003834209],"genre_scores_gemma":[0.9983518,0.0005803388,0.0002973339,0.00007044365,0.000005451493,0.000009155009,0.0003770707,0.000002523793,0.0003058518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5654055,"threshold_uncertainty_score":0.8743079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189239608848715,"score_gpt":0.2598458216729035,"score_spread":0.240921860788032,"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."}}