{"id":"W2051901721","doi":"10.1080/13549830600785506","title":"Adaptive capacity for climate change in Canadian rural communities","year":2006,"lang":"en","type":"article","venue":"Local Environment","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Climate change; Adaptive capacity; Geography; Environmental resource management; Natural resource economics; Environmental planning; Environmental science; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001033307,0.0002589903,0.0001903886,0.00177233,0.007132391,0.002250302,0.001049806,0.0004574088,0.00493329],"category_scores_gemma":[0.004169387,0.0001197374,0.0003381493,0.002263306,0.002504424,0.0007238711,0.002738275,0.0004320055,0.0001156189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03909324,"about_ca_system_score_gemma":0.03521843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.974214,"about_ca_topic_score_gemma":0.9845308,"domain_scores_codex":[0.9989065,0.0002168761,0.0000207145,0.0001110194,0.0002998962,0.0004450768],"domain_scores_gemma":[0.9976981,0.0002587209,0.0001962652,0.0001115166,0.001193055,0.0005423709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003141948,0.0003544561,0.5634343,0.0004224197,0.0001481178,0.001377143,0.1034451,0.02130155,0.004980129,0.107677,0.02010286,0.1764427],"study_design_scores_gemma":[0.00002258654,0.0001029141,0.7846395,0.0001540286,0.00005337911,0.0001949312,0.1289966,0.01117659,0.001037175,0.0116681,0.0617971,0.0001570801],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434152,0.0002274327,0.001113218,0.001541542,0.00001980763,0.0001281945,0.0005396185,0.00004144296,0.05297348],"genre_scores_gemma":[0.9980752,0.00006325061,0.0003935063,0.00002702803,0.000001778659,0.00001370648,0.00005825286,0.00000209626,0.001365079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03909324,"threshold_uncertainty_score":0.2836426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149364914879495,"score_gpt":0.2747388492917274,"score_spread":0.1598023578037779,"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."}}