{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003876236,0.00009041592,0.0001034004,0.00007809574,0.0003869618,0.00002591701,0.0001018658,0.00008170486,0.0001800803],"category_scores_gemma":[0.000006364886,0.000101204,0.00003524297,0.00006413037,0.0002839444,0.0001726781,0.00001528019,0.00006834332,0.00003710447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389276,"about_ca_system_score_gemma":0.00003998556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9648501,"about_ca_topic_score_gemma":0.9959601,"domain_scores_codex":[0.9990223,0.0001077596,0.0001515665,0.00007866162,0.0001753532,0.0004643824],"domain_scores_gemma":[0.999664,0.0000752708,0.00004624251,0.0001002717,0.000009593336,0.0001046238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001402316,0.0005019075,0.1393493,0.000072017,0.00002341967,0.000008341321,0.4308675,0.007079862,0.000180442,0.339963,0.000937225,0.08087673],"study_design_scores_gemma":[0.001602043,0.0002810657,0.4202499,0.0001106861,0.00003858948,0.000001134028,0.326826,0.02400405,0.000201237,0.007940809,0.2178996,0.0008448969],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865419,0.0001695569,0.001700385,0.002604509,0.0001622118,0.001166949,0.0002598999,0.00003654241,0.007357991],"genre_scores_gemma":[0.9984794,0.000212799,0.000390088,0.0002611691,0.0001587843,0.0002730303,0.000115303,0.00001052191,0.00009885275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3320222,"threshold_uncertainty_score":0.4126979,"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."}}