{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002755198,0.00006738641,0.0001545518,0.00001290962,0.0002290842,0.00001030069,0.0001240082,0.00002210117,0.00007792068],"category_scores_gemma":[0.0004270307,0.00004394566,0.0000227096,0.0001175145,0.0005812147,0.00003318279,0.00009200857,0.00007928944,6.936664e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000441031,"about_ca_system_score_gemma":0.0001508267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8782199,"about_ca_topic_score_gemma":0.8821405,"domain_scores_codex":[0.9992977,0.00008919213,0.0001327412,0.00009855048,0.0002097445,0.0001720914],"domain_scores_gemma":[0.9994844,0.0002299131,0.00009855632,0.0001081517,0.00002914176,0.00004981313],"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":[0.0002630423,0.0001320528,0.2873021,0.0002048714,0.0003295211,0.00001088139,0.01659326,0.00001227983,0.00001303911,0.4084496,0.2677673,0.01892209],"study_design_scores_gemma":[0.0008780875,0.00003603681,0.1337169,0.0000739028,0.00003984069,0.000001411426,0.002376195,0.0003613899,0.000006625765,0.004663806,0.8576979,0.0001478928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5117432,0.0007962802,0.00006770949,0.1845287,0.0005465481,0.0006550382,0.0001373148,0.00007412219,0.301451],"genre_scores_gemma":[0.9903749,0.0007447748,0.0002318832,0.001086468,0.00027243,0.000001027828,0.000002293012,0.000006514319,0.007279763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5899306,"threshold_uncertainty_score":0.214151,"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."}}