{"id":"W1522185276","doi":"10.22230/jem.2012v13n1a195","title":"Reducing Vulnerabilities and Promoting Resilience of British Columbia’s Natural and Human Systems Through Adaptation of Post-disturbance Land Management Options","year":2012,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disturbance (geology); Resilience (materials science); Environmental resource management; Adaptation (eye); Environmental planning; Vulnerability (computing); Natural (archaeology); Climate change adaptation; Geography; Human systems engineering; Business; Ecology; Environmental science; Computer security; Climate change; Computer science; Archaeology; Psychology","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":[0.0005451106,0.000424687,0.0001957831,0.001350152,0.002088359,0.002237376,0.000844815,0.0007959134,0.01430975],"category_scores_gemma":[0.00109123,0.000169526,0.0003039843,0.001484982,0.001639203,0.0006595631,0.001128885,0.001545823,0.0006337705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008302435,"about_ca_system_score_gemma":0.01041096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6799012,"about_ca_topic_score_gemma":0.9209541,"domain_scores_codex":[0.9997209,0.00004871873,0.0000120566,0.00002890704,0.0001225456,0.0000669666],"domain_scores_gemma":[0.9995611,0.00007313962,0.00002932586,0.0000325498,0.0002276224,0.0000762222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00005028415,0.0001639651,0.01661537,0.0007800185,0.00007831748,0.0003401061,0.001985189,0.005053472,0.003090759,0.06072013,0.4300619,0.4810606],"study_design_scores_gemma":[0.00001680477,0.00005238997,0.1060648,0.001308327,0.00005819872,0.0001381534,0.002422401,0.001744766,0.001097741,0.01627094,0.8707386,0.00008692002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.082995,0.1300795,0.01339803,0.1395074,0.003493949,0.0003141044,0.00406296,0.0007108925,0.6254382],"genre_scores_gemma":[0.5537475,0.09418806,0.02032871,0.01737386,0.001518209,0.0002687211,0.001577563,0.0002071523,0.3107902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3200988,"threshold_uncertainty_score":0.6439677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363691505400579,"score_gpt":0.2361152318060346,"score_spread":0.2124783167520288,"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."}}