{"id":"W7097309871","doi":"","title":"ARTICLE Adaptive Capacity for Climate Change in Canadian Rural Communities","year":2015,"lang":"en","type":"article","venue":"","topic":"Community and Sustainable Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Adaptive capacity; Climate change; Work (physics); Profiling (computer programming); Natural resource; Capacity building; Set (abstract data type)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051779,0.0002517291,0.0001655565,0.001568927,0.007695778,0.002776167,0.0009754773,0.0005135314,0.006507133],"category_scores_gemma":[0.004022386,0.00009896381,0.0002823402,0.002253438,0.00329749,0.001020584,0.002701948,0.0005152409,0.0001254279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03688093,"about_ca_system_score_gemma":0.04294295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9568706,"about_ca_topic_score_gemma":0.9790304,"domain_scores_codex":[0.9988161,0.0002406982,0.00001887998,0.00009581402,0.0003573294,0.0004711254],"domain_scores_gemma":[0.9979635,0.0002454775,0.0001771998,0.0001025449,0.0009358035,0.0005755493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002535878,0.0004082117,0.39278,0.0004694274,0.0001181828,0.001503805,0.1246641,0.01622871,0.005439647,0.2202878,0.03323159,0.2046149],"study_design_scores_gemma":[0.00002313749,0.0001308748,0.6269899,0.0002460415,0.00005987407,0.0003139206,0.2051157,0.008308195,0.001471596,0.01976479,0.1374101,0.0001658901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.854107,0.0004123883,0.001689504,0.004266121,0.00004856688,0.0001388644,0.0004637011,0.00005342204,0.1388205],"genre_scores_gemma":[0.9973447,0.00009900739,0.0004411118,0.00005100183,0.000003458529,0.00001082894,0.00004090373,0.00000238539,0.002006654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04312938,"threshold_uncertainty_score":0.2675911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1773523740155696,"score_gpt":0.331994145502109,"score_spread":0.1546417714865394,"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."}}