{"id":"W3042528985","doi":"10.1139/as-2020-0008","title":"The Nunavut Wildlife Management Board’s Community-Based Monitoring Network: documenting Inuit harvesting experience using modern technology","year":2020,"lang":"en","type":"article","venue":"Arctic Science","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; Victoria General Hospital; Nova Scotia Department of Agriculture; Nunavut Wildlife Management Board","funders":"","keywords":"Wildlife; Environmental resource management; Wildlife management; Geography; Citizen science; Environmental planning; Ecology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002699503,0.0001640533,0.00020846,0.00008222437,0.03402205,0.00007828041,0.001178226,0.00007846237,0.00001379673],"category_scores_gemma":[0.0007255047,0.0001305513,0.00003523325,0.00135984,0.0008917912,0.0002366184,0.001850162,0.0009472625,0.00003990157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006334591,"about_ca_system_score_gemma":0.0004356487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020753,"about_ca_topic_score_gemma":0.001469591,"domain_scores_codex":[0.9965979,0.0002961042,0.0004640032,0.0003666051,0.0003808666,0.001894474],"domain_scores_gemma":[0.9981946,0.0006146302,0.0002840173,0.0005117872,0.0002492015,0.0001457326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003626199,0.00004486254,0.7299178,0.0002986773,0.00004194924,0.00002559883,0.2403933,0.01275743,0.001289888,0.004018804,0.000117637,0.01105781],"study_design_scores_gemma":[0.001665946,0.0003852146,0.04641314,0.001416667,0.0001081029,0.00001117278,0.7628541,0.1612958,0.0003462616,0.00616627,0.01831208,0.001025247],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871386,0.0001325169,0.002960988,0.005739357,0.00118678,0.0007471044,6.583737e-7,0.0001759672,0.00191801],"genre_scores_gemma":[0.9867061,0.00003294978,0.008550794,0.004196513,0.000257074,0.0001517953,2.563744e-7,0.00001708519,0.00008741413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6835046,"threshold_uncertainty_score":0.9672355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042674957134967,"score_gpt":0.3946158180949864,"score_spread":0.2903483223814897,"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."}}