{"id":"W2772760701","doi":"10.1080/21693293.2017.1406849","title":"Does diversification enhance community resilience? A critical perspective","year":2017,"lang":"en","type":"article","venue":"Resilience","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Resilience (materials science); Perspective (graphical); Diversification (marketing strategy); Community resilience; Environmental resource management; Business; Economic geography; Geography; Economics; Computer science; Engineering; Marketing; Reliability engineering; Artificial intelligence; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01264631,0.0008981015,0.0005351864,0.003077768,0.01198693,0.01114994,0.00197088,0.004931013,0.008235319],"category_scores_gemma":[0.01632352,0.0003020315,0.0004960655,0.001795462,0.06825596,0.01914688,0.01588124,0.005532706,0.0003334323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01091262,"about_ca_system_score_gemma":0.007018422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00335434,"about_ca_topic_score_gemma":0.003222455,"domain_scores_codex":[0.9926494,0.005301478,0.0001069179,0.0005608636,0.0004651958,0.0009160922],"domain_scores_gemma":[0.9848537,0.01027443,0.001098456,0.0008285381,0.001420365,0.001524486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001589639,0.00002449789,0.0004594693,0.0001203512,0.000006843774,0.0002445388,0.0351277,0.0002885221,0.0001405522,0.9573393,0.002598353,0.003633994],"study_design_scores_gemma":[0.00001767401,0.00005752515,0.0007676775,0.0008933719,0.00001711748,0.0002862712,0.1417234,0.0004985877,0.0004267405,0.7185271,0.1367589,0.00002555623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1107605,0.01347432,0.02168489,0.4859735,0.001658656,0.0002328314,0.0001105842,0.00005454387,0.3660501],"genre_scores_gemma":[0.9858786,0.002906343,0.001903372,0.005537103,0.0004528337,0.000095786,0.00001127941,0.00001941632,0.003195258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01264631,"threshold_uncertainty_score":0.07917702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976888435796703,"score_gpt":0.3872593324117084,"score_spread":0.3574904480537414,"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."}}