{"id":"W2296276150","doi":"10.14430/arctic4547","title":"Regional Patterns of Fish and Wildlife Harvests in Contemporary Alaska","year":2016,"lang":"en","type":"article","venue":"ARCTIC","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alaska Department of Fish and Game; Massachusetts Department of Fish and Game","keywords":"Subsistence agriculture; Wildlife; Geography; Fishing; Subarctic climate; Fishery; Commercial fishing; Agriculture; Socioeconomics; Environmental protection; Ecology; Economics; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002639375,0.00005805682,0.0001699466,0.00004277024,0.0002617914,6.946163e-7,0.00004866727,0.00007189444,0.0001466847],"category_scores_gemma":[0.000106449,0.00003903525,0.00001733438,0.00003200668,0.0000491182,0.00005612462,0.00009095023,0.0001041353,0.00003798795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006311631,"about_ca_system_score_gemma":0.0001321675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006262791,"about_ca_topic_score_gemma":0.06234286,"domain_scores_codex":[0.9991258,0.0001266503,0.0002485978,0.0001210398,0.00005511874,0.0003227258],"domain_scores_gemma":[0.9992287,0.0004707678,0.00009742253,0.0001061517,0.00005627779,0.00004067603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002714244,0.00002748088,0.981621,0.0001022577,0.00001300318,0.000006640338,0.006388509,4.269446e-8,0.00002413025,0.0003621138,0.01125881,0.0001688554],"study_design_scores_gemma":[0.0008802526,0.0000854588,0.9671364,0.0002364565,0.000002758181,0.000001895977,0.0026353,6.164706e-7,0.00000295818,0.0003419223,0.02862367,0.00005231295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735551,0.00005589371,0.000005301064,0.02458835,0.0001820811,0.0002660218,0.00001832829,0.000009262596,0.001319698],"genre_scores_gemma":[0.9878166,0.0002053668,0.00001205529,0.0104701,0.00006824737,0.00003915826,0.000002783301,0.00000764564,0.001378086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05608007,"threshold_uncertainty_score":0.9547669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07464291627342917,"score_gpt":0.3519408607569162,"score_spread":0.277297944483487,"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."}}