{"id":"W1575322853","doi":"10.3390/su7079268","title":"Prioritizing Climate Change Adaptations in Canadian Arctic Communities","year":2015,"lang":"en","type":"article","venue":"Sustainability","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre; Canadian Institutes of Health Research; ArcticNet","keywords":"Adaptation (eye); Climate change; Prioritization; Environmental resource management; Arctic; Vulnerability (computing); Sustainability; Climate change adaptation; Environmental planning; Equity (law); The arctic; Computer science; Process (computing); Environmental science; Business; Process management; Ecology; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008240337,0.0006565011,0.0004381903,0.003581083,0.01823739,0.006018297,0.00201312,0.001450896,0.002446871],"category_scores_gemma":[0.01133274,0.0002760355,0.0006617372,0.003648404,0.003188496,0.001505331,0.005012198,0.001049506,0.000111602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06745735,"about_ca_system_score_gemma":0.1221804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9359222,"about_ca_topic_score_gemma":0.9796879,"domain_scores_codex":[0.9924309,0.002889562,0.0001685582,0.0003791778,0.001574686,0.002557134],"domain_scores_gemma":[0.9959431,0.001088914,0.0003034587,0.0001194056,0.001524742,0.001020326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004964773,0.0006168507,0.1490636,0.0008985526,0.0004557781,0.005272826,0.08532244,0.1988408,0.008802225,0.1416718,0.01819417,0.3903645],"study_design_scores_gemma":[0.000138432,0.0004141359,0.2014691,0.00125529,0.0004496157,0.0007687256,0.3570831,0.1820081,0.005632207,0.1063128,0.1437991,0.0006694366],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565596,0.001068714,0.01998769,0.008433622,0.00006699991,0.0009895492,0.000263817,0.0001136119,0.1125163],"genre_scores_gemma":[0.9775938,0.0005165072,0.01841142,0.0002036008,0.000009344561,0.000111258,0.00007212985,0.00001335697,0.003068696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06745735,"threshold_uncertainty_score":0.4894396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1249051184240406,"score_gpt":0.414242038771715,"score_spread":0.2893369203476744,"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."}}