{"id":"W6961101213","doi":"10.14288/1.0315454","title":"The Greater Vancouver Chinook","year":2016,"lang":"fr","type":"article","venue":"Open Collections","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chinook wind; Fishing; Population; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":{"n_in":0,"stratum":"french","weight":1554.46666666667,"opus":{"tier":"OUT","genre":"other","about_ca":false,"confidence":"low","reason":"No abstract and an opaque repository title; nothing indicates research as the object."},"gpt":{"tier":"OUT","genre":"other","about_ca":false,"confidence":"low","reason":"The abstract is missing and the title alone does not show that the work concerns research itself."},"grok":{"tier":"OUT","genre":"other","about_ca":false,"confidence":"low","reason":"Title and empty abstract do not establish any object of study related to research practice."}},"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004409979,0.000351916,0.0002822132,0.00111034,0.007581351,0.003726023,0.0009060338,0.001194809,0.06578242],"category_scores_gemma":[0.002261817,0.0003809644,0.0002173388,0.001964522,0.001289692,0.0004965291,0.001937876,0.001537648,0.004941294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01907249,"about_ca_system_score_gemma":0.04406817,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9395035,"about_ca_topic_score_gemma":0.9888017,"domain_scores_codex":[0.9992127,0.00009061012,0.00001681062,0.0001238149,0.000282865,0.0002731274],"domain_scores_gemma":[0.9974848,0.0002422911,0.0001121746,0.00008497298,0.0008626613,0.001213141],"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":[0.0007618833,0.0002552308,0.1543527,0.0008184825,0.0001088987,0.006456358,0.006188294,0.0004177628,0.00261683,0.01675005,0.5069441,0.3043295],"study_design_scores_gemma":[0.00007623659,0.00009104646,0.4138778,0.0005808672,0.00002530433,0.001201462,0.02087499,0.0004369509,0.0004014008,0.001790081,0.5605745,0.00006940428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.322692,0.01390787,0.0009270146,0.04264905,0.00246449,0.0005029906,0.02258186,0.0003571302,0.5939175],"genre_scores_gemma":[0.3080995,0.005740074,0.001820773,0.005451228,0.0003017379,0.0001999203,0.002950873,0.0001856119,0.6752502],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06578242,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009273958975598,"score_gpt":0.2715812686088808,"score_spread":0.2514885290191248,"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."}}