{"id":"W2113088331","doi":"10.1139/cjfas-2015-0030","title":"Missing the safety net: evidence for inconsistent and insufficient management of at-risk marine fishes in Canada","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"International Maritime Law Issues","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Stichting Diabetes Onderzoek Nederland; Donner Canadian Foundation","keywords":"Endangered species; Fishery; Threatened species; Listing (finance); Marine conservation; Fisheries management; Marine fish; Bycatch; Marine protected area; Fish stock; Business; Wildlife; Fishing; Environmental resource management; Fish <Actinopterygii>; Ecology; Biology; Environmental science; Habitat","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009617826,0.00006379582,0.000117058,0.00003296498,0.0001948019,0.00005885485,0.0002255388,0.00001101679,0.00009674039],"category_scores_gemma":[0.000250668,0.00004300212,0.00001586084,0.0001407399,0.0005858386,0.0001840467,0.00007660031,0.00004539561,2.703281e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004429507,"about_ca_system_score_gemma":0.000484265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9020929,"about_ca_topic_score_gemma":0.986312,"domain_scores_codex":[0.9991221,0.00004077073,0.0002816726,0.0001063464,0.0002869823,0.0001620569],"domain_scores_gemma":[0.9993017,0.0002510003,0.0001812223,0.00005858776,0.00001671615,0.000190735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002611639,0.000004265771,0.9679199,0.00001361922,0.00001014461,0.00001938076,0.00109194,0.0005290591,0.000004673082,0.0002561318,0.00113905,0.02898566],"study_design_scores_gemma":[0.0003635649,0.0002443769,0.9651361,0.0002431373,0.00002725767,0.00006359557,0.005649417,0.008727066,0.00005328181,0.003968203,0.01540352,0.0001204622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910123,0.0006322254,0.00003374432,0.005517563,0.0001317923,0.0001138168,0.000004650419,4.057248e-7,0.002553479],"genre_scores_gemma":[0.9973727,0.0001068588,0.002178942,0.0001880413,0.00001062542,0.000001808317,2.185219e-7,0.000002152915,0.0001386223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08421906,"threshold_uncertainty_score":0.2158547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03532310039885493,"score_gpt":0.2334665715073423,"score_spread":0.1981434711084874,"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."}}