{"id":"W3214286997","doi":"10.3390/su132212366","title":"Sustaining Tribal Fisheries: U.S. Economic Relief Policies during COVID-19","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Mining and Resource Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Subsistence agriculture; State (computer science); Sovereignty; Indigenous; Fishing; Legislature; Political science; Fisheries management; Business; Fishery; Public administration; Economic growth; Politics; Geography; Law; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007665515,0.0001803116,0.0001472342,0.001743283,0.008895799,0.007261526,0.0009675025,0.001295125,0.003195812],"category_scores_gemma":[0.01564049,0.0001653099,0.0001827553,0.002350989,0.00405377,0.003677866,0.004523301,0.002007015,0.0002432637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007327991,"about_ca_system_score_gemma":0.01729286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06210966,"about_ca_topic_score_gemma":0.1326016,"domain_scores_codex":[0.9966994,0.001409763,0.0002382317,0.000158121,0.0007474414,0.0007469917],"domain_scores_gemma":[0.9949318,0.002486619,0.0006241676,0.0002435704,0.001057793,0.000655947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007133742,0.0001780702,0.04892054,0.0009605613,0.00004035907,0.001741289,0.2781139,0.001367575,0.002182418,0.2580041,0.06085273,0.3475671],"study_design_scores_gemma":[0.000008418709,0.0001248706,0.05902616,0.001357998,0.00003115052,0.0002336313,0.4309562,0.0007694105,0.0009365605,0.01571132,0.4907901,0.00005409694],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5195727,0.01495013,0.002876614,0.1208998,0.0007116706,0.0002207469,0.0002263102,0.00007135061,0.3404707],"genre_scores_gemma":[0.9791461,0.004026977,0.001425346,0.006203541,0.00008077781,0.00006055745,0.0001016087,0.00002084167,0.008934248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06210966,"threshold_uncertainty_score":0.1234962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008656046281195538,"score_gpt":0.2400058452046239,"score_spread":0.2313497989234284,"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."}}