{"id":"W2147325532","doi":"10.1503/cmaj.090979","title":"Proliferation of prenatal ultrasonography","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; St. Michael's Hospital; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Ultrasonography; Computer science; Prenatal diagnosis; Pregnancy; Data science; Medicine; Radiology; Fetus; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.002859182,0.0002785614,0.0002718102,0.002876939,0.0003178432,0.001089617,0.0009882683,0.0005170368,0.005367156],"category_scores_gemma":[0.01289723,0.0002786009,0.0003050696,0.002052174,0.0008430777,0.0006600784,0.0008923911,0.0007153251,0.001193255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003423021,"about_ca_system_score_gemma":0.004522065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05790941,"about_ca_topic_score_gemma":0.05348058,"domain_scores_codex":[0.9974483,0.0006257615,0.0001939014,0.0004549558,0.001105599,0.0001714586],"domain_scores_gemma":[0.982802,0.005281496,0.003872262,0.001468388,0.00542778,0.001148143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001485475,0.00005700446,0.4707921,0.0007913996,0.00006600625,0.0007907489,0.0007489977,0.0005166978,0.002577741,0.002137613,0.01484716,0.506526],"study_design_scores_gemma":[0.00003282534,0.0003029846,0.6866766,0.002441193,0.0001653774,0.01453784,0.001093688,0.001921362,0.002985941,0.001390493,0.2884099,0.00004184926],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6257036,0.1605028,0.02033976,0.03922708,0.00234233,0.000284428,0.006226035,0.001245711,0.1441283],"genre_scores_gemma":[0.9155586,0.06010746,0.01140255,0.002809664,0.001223178,0.00007435427,0.001870342,0.00009897971,0.006854817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05790941,"threshold_uncertainty_score":0.1151447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008956277278617206,"score_gpt":0.2804079078302803,"score_spread":0.2714516305516631,"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."}}