{"id":"W2234057868","doi":"","title":"Canadian Fisheries Governance: The Good, the Bad and the Ugly","year":2008,"lang":"en","type":"book-chapter","venue":"Fraser Institute eBooks","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fishery; Corporate governance; Business; Biology; Finance","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":[0.001285394,0.0005743691,0.0003290432,0.001333461,0.007762151,0.01019744,0.0009912726,0.001535631,0.009313096],"category_scores_gemma":[0.002951663,0.0003526695,0.0001585072,0.004083894,0.01057604,0.002673184,0.001618933,0.00238676,0.0005851483],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0748121,"about_ca_system_score_gemma":0.146219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848914,"about_ca_topic_score_gemma":0.9954657,"domain_scores_codex":[0.9983051,0.0001622204,0.00002249576,0.0001616616,0.0008309696,0.0005175314],"domain_scores_gemma":[0.998551,0.0001385853,0.00005922839,0.00008195873,0.0007016399,0.0004676049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009692091,0.00001150216,0.002243125,0.00007438123,0.000009305996,0.0000730941,0.005500399,0.0005419563,0.0001146024,0.5340116,0.3830392,0.07437107],"study_design_scores_gemma":[0.000004581013,0.000004322614,0.007527922,0.000245452,0.00001004126,0.00003307836,0.005549644,0.0002374876,0.00005670394,0.05127934,0.9350283,0.0000230431],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01180245,0.04061362,0.002391179,0.1821175,0.001895595,0.00005380206,0.0006652134,0.0001275332,0.7603331],"genre_scores_gemma":[0.4785528,0.0539149,0.003052858,0.01648039,0.0006473129,0.00006981438,0.0004706688,0.0001702419,0.446641],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9251879,"threshold_uncertainty_score":0.5428023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420213907090323,"score_gpt":0.1944189494503018,"score_spread":0.1802168103793985,"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."}}