{"id":"W6961335618","doi":"10.14288/1.0315512","title":"The Greater Vancouver Chinook","year":2016,"lang":"fr","type":"article","venue":"Open Collections","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004268608,0.0003594565,0.0003625553,0.001745061,0.008220501,0.004527591,0.0009693086,0.0007797772,0.06134478],"category_scores_gemma":[0.001813356,0.0003389872,0.0002122433,0.004694467,0.001330083,0.0006205545,0.00226294,0.000978501,0.006977646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01854281,"about_ca_system_score_gemma":0.03692512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9444873,"about_ca_topic_score_gemma":0.9894016,"domain_scores_codex":[0.9993083,0.00005351416,0.00001362712,0.0001479727,0.0002550628,0.0002214773],"domain_scores_gemma":[0.9981615,0.0001618653,0.00008388712,0.00010721,0.0007221099,0.0007633833],"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":[0.0008119117,0.0002176781,0.1262015,0.0008190862,0.0001066077,0.004271985,0.009880156,0.0006645226,0.004325614,0.02747722,0.4888989,0.3363247],"study_design_scores_gemma":[0.00005147428,0.00005304861,0.3310512,0.0002454883,0.00001762922,0.0005249279,0.01908034,0.0005513788,0.0004421125,0.00214152,0.6457831,0.00005780078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.338645,0.006139967,0.001485694,0.01665142,0.0008374599,0.0005581466,0.04631673,0.000647769,0.5887178],"genre_scores_gemma":[0.3235154,0.002569309,0.003021683,0.002456135,0.000114663,0.0002637262,0.009606355,0.0002811975,0.6581716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9444873,"threshold_uncertainty_score":0.2052187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008154362075287726,"score_gpt":0.2223519587884781,"score_spread":0.2141975967131904,"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."}}