{"id":"W7127131346","doi":"10.18357/wg23201832","title":"Analytical framework for community resilience","year":2018,"lang":"","type":"article","venue":"Western Geography","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto","funders":"Mitacs; Killam Trusts; University of Northern British Columbia","keywords":"Diversification (marketing strategy); Resilience (materials science); Bust; Boom; Community resilience; Psychological resilience; Natural resource","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001395457,0.0004028273,0.0007749401,0.0006869138,0.0008334491,0.0003274764,0.001151806,0.0004109413,0.0003542124],"category_scores_gemma":[0.0004488463,0.0004776421,0.0005744987,0.001110022,0.001060811,0.0003570151,0.0003086055,0.0006406319,0.002476306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008097675,"about_ca_system_score_gemma":0.0001001911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001869527,"about_ca_topic_score_gemma":0.0000579585,"domain_scores_codex":[0.9968407,0.00007383068,0.001135846,0.0008295251,0.0001573711,0.0009627162],"domain_scores_gemma":[0.9968838,0.0008128861,0.0005121973,0.001270452,0.0002110463,0.0003096058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001448031,0.0002919189,0.8483508,0.0001087283,0.0001417812,0.000001515214,0.0007933379,0.00001495608,6.881039e-7,0.1466066,0.000947629,0.002597229],"study_design_scores_gemma":[0.0005581927,0.001048673,0.7122095,0.0002132217,0.00002541068,0.000004207595,0.0003685522,0.001300587,0.00004241686,0.1739291,0.1096445,0.000655681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8316796,0.002418685,0.1470258,0.001685208,0.00232636,0.0009931811,0.0002516354,0.00004876013,0.01357076],"genre_scores_gemma":[0.988018,0.0006484867,0.006768284,0.002445037,0.0004667323,0.00006531977,0.0000217979,0.00004294405,0.001523431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1563383,"threshold_uncertainty_score":0.9997675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05817198231345013,"score_gpt":0.2994962579667451,"score_spread":0.241324275653295,"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."}}