{"id":"W323609711","doi":"","title":"Inuit, Marine Resources and Climate Change : Risk and Resilience in a Changing Arctic","year":2005,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Climate change; Arctic; Geography; The arctic; Oceanography; Environmental resource management; Environmental science; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009265027,0.0001706295,0.0002518193,0.0002582486,0.004650285,0.00002208425,0.000100488,0.000113234,0.00004685077],"category_scores_gemma":[0.0004791097,0.0001542888,0.00001905277,0.0003235848,0.0002956769,0.0004439881,0.001045011,0.0004753975,0.00002847534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004149092,"about_ca_system_score_gemma":0.0001662311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01433093,"about_ca_topic_score_gemma":0.1396783,"domain_scores_codex":[0.9979405,0.0001714228,0.0004226425,0.0003960937,0.0001952802,0.0008740489],"domain_scores_gemma":[0.9990144,0.0003369761,0.0001751548,0.0002389405,0.0001204469,0.0001140184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001831283,0.0000629936,0.9064104,0.0003397169,0.00001906162,0.0001125129,0.06894349,0.00001356965,0.00004859489,0.0198432,0.00006763566,0.003955688],"study_design_scores_gemma":[0.001600447,0.0001820004,0.8432832,0.0008799284,0.00006174923,0.0001912431,0.02990782,0.0005660822,0.00002705011,0.0003229478,0.1224903,0.0004871661],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934326,0.001340636,0.0000219775,0.0008781325,0.0007414545,0.0006289131,0.0002715716,0.0000509724,0.002633701],"genre_scores_gemma":[0.9935338,0.003099892,0.0008875739,0.0005148818,0.001450272,0.0002803211,0.00004869499,0.00001159158,0.000172916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1253474,"threshold_uncertainty_score":0.9966455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565357600698859,"score_gpt":0.3242523557579419,"score_spread":0.2985987797509533,"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."}}