{"id":"W7073755069","doi":"","title":"Take One's Essential Guide to Canadian Film","year":2023,"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); Work (physics); Key (lock); Quality (philosophy); Process (computing); Field (mathematics)","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":[0.00244891,0.001070031,0.0005755797,0.004201847,0.01579345,0.009284096,0.002452187,0.00491324,0.1149026],"category_scores_gemma":[0.01475048,0.000580546,0.0006154862,0.002039473,0.005985582,0.003638467,0.003474297,0.008748158,0.02976414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02016702,"about_ca_system_score_gemma":0.04246346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7967451,"about_ca_topic_score_gemma":0.9381035,"domain_scores_codex":[0.9978993,0.0004407916,0.0000814721,0.0001099235,0.001077055,0.0003914623],"domain_scores_gemma":[0.9922205,0.001122828,0.00009125483,0.000242291,0.004505793,0.001817307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003517067,0.000005205945,0.00005278679,0.00002985111,0.000001014214,0.00006985354,0.0006716606,0.00001448028,0.0000317118,0.008363823,0.9736359,0.0171202],"study_design_scores_gemma":[0.000001378938,0.000001293267,0.00007286904,0.00007244774,0.000001224868,0.00007479989,0.001207717,0.00001024422,0.00001723454,0.00120754,0.9973269,0.000006352681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006844194,0.02312573,0.008211603,0.3096666,0.04444957,0.0002404619,0.00127961,0.001482008,0.61086],"genre_scores_gemma":[0.01078289,0.01398613,0.01163735,0.07105594,0.004536325,0.0001738554,0.0003832584,0.001261763,0.8861825],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2032549,"threshold_uncertainty_score":0.4089037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147007411889725,"score_gpt":0.2506218297773359,"score_spread":0.2291517556584387,"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."}}