{"id":"W6960892418","doi":"10.14288/1.0369919","title":"[Statistics, B.C. Fisheries Companies, C]","year":2018,"lang":"en","type":"article","venue":"Open Collections","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishing; Fish <Actinopterygii>; Fisheries management; Government (linguistics); Fishing industry","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":[0.0007989819,0.0008459811,0.0005315476,0.005047538,0.00154016,0.002276973,0.001310452,0.0006875414,0.1920109],"category_scores_gemma":[0.005032416,0.0005955921,0.0004176202,0.01371209,0.0003888017,0.002053581,0.0007235853,0.001625994,0.1703223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002482196,"about_ca_system_score_gemma":0.006816655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2961256,"about_ca_topic_score_gemma":0.2867914,"domain_scores_codex":[0.9986965,0.00008756194,0.0001239753,0.0002214766,0.000739495,0.000131149],"domain_scores_gemma":[0.9955528,0.0003730544,0.0002979362,0.0003203985,0.003268358,0.0001874441],"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":[0.00001306587,0.000004909804,0.0004476066,0.00004171431,0.000002198813,0.000005778882,0.00001424422,0.00005090941,0.00002895019,0.001178679,0.9879888,0.01022321],"study_design_scores_gemma":[0.000009934131,0.00001042268,0.007026363,0.00006057704,0.000004054861,0.00002371132,0.00007165178,0.0001946451,0.00007710138,0.0006257705,0.9918821,0.00001361413],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001832892,0.001936117,0.001528994,0.003367116,0.002104268,0.0002162923,0.597234,0.001868016,0.3899123],"genre_scores_gemma":[0.007838809,0.003037896,0.002624772,0.00115771,0.0003921436,0.0003473876,0.3174818,0.0008142789,0.6663052],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7038743,"threshold_uncertainty_score":0.6423405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05943846255540957,"score_gpt":0.2672130400139752,"score_spread":0.2077745774585656,"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."}}