{"id":"W2093561022","doi":"10.1163/22116001-02801015","title":"Canada and the Governance of Arctic Marine Fisheries: Tending a Fragmented Net","year":2014,"lang":"en","type":"article","venue":"Ocean Yearbook Online","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fishery; Arctic; Corporate governance; Geography; Business; Ecology; Biology","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":[0.001119746,0.000191038,0.0002349104,0.002129746,0.009460799,0.009591072,0.0008092668,0.001320454,0.01173785],"category_scores_gemma":[0.003874252,0.0002316124,0.0001628309,0.004179084,0.004629645,0.002548159,0.002566067,0.001268102,0.0005470839],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04879654,"about_ca_system_score_gemma":0.1117928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875261,"about_ca_topic_score_gemma":0.995383,"domain_scores_codex":[0.9987292,0.0001487927,0.0000247768,0.0001023676,0.0004101663,0.0005847398],"domain_scores_gemma":[0.996436,0.0003958541,0.0002452252,0.0001254839,0.001412488,0.001385072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001990465,0.00006354778,0.117935,0.0002447669,0.00009025701,0.0005285639,0.02239063,0.004055342,0.0006387111,0.5341741,0.1765375,0.1431425],"study_design_scores_gemma":[0.00003678419,0.00005248139,0.1535438,0.0008817888,0.00009583606,0.0001724701,0.06744955,0.001774939,0.0004308092,0.04423537,0.7312314,0.00009480702],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3017639,0.01105515,0.001616979,0.07346479,0.0003581715,0.0000646788,0.002477483,0.00009085292,0.6091079],"genre_scores_gemma":[0.9280267,0.006132223,0.0009772028,0.002653721,0.0000626139,0.00001888348,0.0005375569,0.00005084283,0.06154026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9512035,"threshold_uncertainty_score":0.3540453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008831177449283354,"score_gpt":0.23928281709932,"score_spread":0.2304516396500367,"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."}}