{"id":"W6960812514","doi":"10.14288/1.0315405","title":"The Greater Vancouver Chinook","year":2016,"lang":"fr","type":"article","venue":"Open Collections","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","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":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003447968,0.0002597958,0.0002847967,0.001236513,0.007215227,0.002332378,0.0007269135,0.0005066299,0.01745593],"category_scores_gemma":[0.0008995578,0.0002642971,0.0001386201,0.002906295,0.001087408,0.0003850578,0.00137336,0.0007055468,0.001738189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01294677,"about_ca_system_score_gemma":0.01945932,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9550303,"about_ca_topic_score_gemma":0.9950206,"domain_scores_codex":[0.999485,0.00005782886,0.00001107371,0.0001039889,0.0001741615,0.0001678178],"domain_scores_gemma":[0.9987673,0.00009920479,0.00007809758,0.00007238568,0.0005265576,0.0004564792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001001924,0.0002845418,0.5401914,0.0005946906,0.0001502815,0.004901649,0.02629955,0.0004375967,0.01121432,0.009512509,0.1031485,0.302263],"study_design_scores_gemma":[0.00003211363,0.00007103931,0.8392268,0.0001384721,0.0000173002,0.0005384937,0.02870731,0.0002583379,0.0004261526,0.0005745518,0.1299722,0.00003710443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8063527,0.00253704,0.0007080723,0.003430623,0.0001873108,0.0003620078,0.01007864,0.0001242122,0.1762193],"genre_scores_gemma":[0.770839,0.001594511,0.002403165,0.001465944,0.00005365139,0.0002108121,0.003795597,0.0001024726,0.2195348],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9550303,"threshold_uncertainty_score":0.09393585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869265788038592,"score_gpt":0.2028770340399045,"score_spread":0.1841843761595185,"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."}}