{"id":"W2955333626","doi":"10.1016/j.ocecoaman.2019.05.010","title":"Barriers and opportunities for social-ecological adaptation to climate change in coastal British Columbia","year":2019,"lang":"en","type":"article","venue":"Ocean & Coastal Management","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Pacific Institute for Climate Solutions","keywords":"Climate change; Environmental resource management; Adaptation (eye); Adaptive management; Corporate governance; Adaptive capacity; Climate change adaptation; Environmental planning; Business; Livelihood; Geography; Ecology; Agriculture; Environmental 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":[0.0005913411,0.0001416335,0.0002686042,0.001151808,0.005539744,0.002458715,0.0009680451,0.0006215335,0.005126073],"category_scores_gemma":[0.003212118,0.0002318875,0.0001772389,0.00190739,0.002257297,0.0007541943,0.002845907,0.001277288,0.0001709235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02089572,"about_ca_system_score_gemma":0.02432924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9786413,"about_ca_topic_score_gemma":0.9945424,"domain_scores_codex":[0.9992141,0.0001237768,0.00002841343,0.00007124129,0.00008002558,0.0004823559],"domain_scores_gemma":[0.9978232,0.0003816735,0.0002756907,0.00007245049,0.0004948765,0.0009521394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002580643,0.0001853404,0.9046894,0.0001001088,0.00008994441,0.0009944276,0.04851836,0.001539229,0.0009603279,0.01031771,0.003825141,0.02852206],"study_design_scores_gemma":[0.000006911408,0.00001135099,0.9214597,0.00007352305,0.00001883687,0.0000579906,0.07198883,0.0006630028,0.00006326278,0.0008826504,0.004749099,0.00002484767],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927099,0.0001325483,0.00003548308,0.0009526878,0.000004607101,0.000006860156,0.0001088101,0.000002334122,0.006046832],"genre_scores_gemma":[0.9984091,0.00008339791,0.00003131448,0.00005162481,9.225383e-7,0.000006725446,0.00004255042,0.000002108878,0.001372146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02135867,"threshold_uncertainty_score":0.1516098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912485020972174,"score_gpt":0.227855713272548,"score_spread":0.1987308630628262,"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."}}