{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005369799,0.0001228381,0.0001833414,0.001780344,0.0007227241,0.0006381098,0.0003310336,0.000182903,0.001995026],"category_scores_gemma":[0.0008658086,0.0001958362,0.00029355,0.002130224,0.0005197854,0.0005342891,0.0008608933,0.0002350332,0.0003158754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007777321,"about_ca_system_score_gemma":0.0004548413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07371113,"about_ca_topic_score_gemma":0.1654063,"domain_scores_codex":[0.9997579,0.00002332086,0.00003548857,0.0000938505,0.00005020246,0.00003923682],"domain_scores_gemma":[0.9993653,0.00007515605,0.0002627834,0.00004028603,0.000150643,0.000105917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005859958,0.0000157537,0.9901379,0.00004192427,0.00005671212,0.0001025576,0.003298574,0.000215943,0.0005035429,0.0001451949,0.0002732583,0.00515007],"study_design_scores_gemma":[3.382407e-7,0.00001005202,0.9968708,0.00001168413,0.000007657276,0.00006964716,0.002499767,0.00005826174,0.00002506289,0.00003662015,0.0004055898,0.000004595003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964991,0.0004781489,0.00009914786,0.00003138734,0.000003993076,0.000005769622,0.0008595135,0.00001050532,0.002012436],"genre_scores_gemma":[0.9975994,0.0005251585,0.0001812465,0.00001101418,0.000004559271,0.00001206082,0.0008856693,0.000005601671,0.0007753478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07371113,"threshold_uncertainty_score":0.1465642,"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."}}