{"id":"W6985167297","doi":"","title":"The GSA and Canada","year":2016,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Perspective (graphical); Key (lock); Set (abstract data type); Work (physics); Identification (biology)","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":[0.002074507,0.0007587984,0.0006550648,0.002936138,0.006941333,0.006470266,0.001712346,0.003594249,0.1119496],"category_scores_gemma":[0.007254228,0.0006050461,0.0009531039,0.003204894,0.001636383,0.00123772,0.003581134,0.004395319,0.01470083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04954856,"about_ca_system_score_gemma":0.2381283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9653372,"about_ca_topic_score_gemma":0.9821323,"domain_scores_codex":[0.9956971,0.0002611587,0.00008330688,0.0003959042,0.001730407,0.001832108],"domain_scores_gemma":[0.9892281,0.0003981461,0.0002333118,0.0004249092,0.005675419,0.004040205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001612643,0.00004864764,0.005218117,0.0001526152,0.00004246195,0.0003645523,0.0003581247,0.0003169556,0.0004077321,0.1145926,0.8338621,0.04447476],"study_design_scores_gemma":[0.0000330143,0.00001116273,0.006785844,0.0001068473,0.00001294742,0.00008040486,0.0005527487,0.0001918612,0.0001324843,0.001879175,0.9901965,0.0000169605],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01334201,0.008248162,0.001512321,0.1159156,0.008091477,0.0004016948,0.03729547,0.001013031,0.8141803],"genre_scores_gemma":[0.04987542,0.002861228,0.002101676,0.01238429,0.0003138385,0.0001279836,0.005238304,0.000247862,0.9268494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1119496,"threshold_uncertainty_score":0.3745087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251573721510661,"score_gpt":0.2056655148314185,"score_spread":0.1931497776163119,"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."}}