{"id":"W4297181312","doi":"10.1016/j.jglr.2022.09.001","title":"Forging a new path for multi-cultural fishery management","year":2022,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Michigan Department of Natural Resources; Great Lakes Fishery Trust","keywords":"Indigenous; Agency (philosophy); Corporate governance; Public relations; Political science; Negotiation; Traditional knowledge; Normative; Business; State (computer science); Sustainability; Sociology; Law; Social science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01431207,0.000493393,0.0004010124,0.00125613,0.02561595,0.01366859,0.001888745,0.004830984,0.005279666],"category_scores_gemma":[0.005930844,0.0004414448,0.0004943021,0.0006660679,0.02904608,0.01196103,0.02160888,0.009223853,0.000733856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008609807,"about_ca_system_score_gemma":0.02493554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01612468,"about_ca_topic_score_gemma":0.04977201,"domain_scores_codex":[0.9925348,0.004009965,0.0002225855,0.0008217519,0.001090839,0.001320208],"domain_scores_gemma":[0.9914737,0.001502468,0.0005693467,0.0007179656,0.001055577,0.004681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004916234,0.0003329224,0.009602518,0.000293216,0.00006480777,0.001582955,0.3899732,0.0002900654,0.003078993,0.3824168,0.05563601,0.1566793],"study_design_scores_gemma":[0.00001258303,0.0001310212,0.005208146,0.0007487678,0.00001526954,0.0006592598,0.2163852,0.0005703459,0.000785929,0.1304387,0.6449583,0.0000865783],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1458568,0.007274491,0.02511206,0.6175297,0.003878731,0.0002564195,0.00003214443,0.0002450204,0.1998146],"genre_scores_gemma":[0.897256,0.001966999,0.02990847,0.03049026,0.0004959526,0.0003238642,0.00003938045,0.0001052716,0.03941377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02561595,"threshold_uncertainty_score":0.07569033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396413285089373,"score_gpt":0.4425147382737156,"score_spread":0.3028734097647783,"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."}}