{"id":"W2090834472","doi":"10.1016/s1499-2671(08)22002-2","title":"“Resilience, Adaptation and Transformation in Turbulent Times”","year":2008,"lang":"en","type":"editorial","venue":"Canadian Journal of Diabetes","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Diabetes Canada","funders":"","keywords":"Medicine; Resilience (materials science); Adaptation (eye); Transformation (genetics); Turbulence; Neuroscience; Meteorology; Geography; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008801765,0.004086463,0.003863698,0.00467036,0.003837643,0.01067266,0.004881737,0.02152737,0.005631974],"category_scores_gemma":[0.04308704,0.001237979,0.00222809,0.002896936,0.007777165,0.007662723,0.002654388,0.0226466,0.00250883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00471819,"about_ca_system_score_gemma":0.006248793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01251383,"about_ca_topic_score_gemma":0.03487887,"domain_scores_codex":[0.9954343,0.001540598,0.0007333724,0.0006300079,0.001349949,0.0003117332],"domain_scores_gemma":[0.9631133,0.02582199,0.001211923,0.000718325,0.007088722,0.002045688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001527944,0.000006103048,0.00003708617,0.0002296284,0.00001898989,0.0000634171,0.00005825339,0.00002806211,0.00001423884,0.001422163,0.9948343,0.003272475],"study_design_scores_gemma":[0.00009027228,0.00002063837,0.000927458,0.001561067,0.0001326164,0.0002953629,0.0005016658,0.0004028225,0.00007832303,0.01107192,0.9848601,0.00005761261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005201522,0.03226023,0.0002122971,0.0924774,0.874127,0.000009903469,0.00005844253,0.00002552014,0.0007772596],"genre_scores_gemma":[0.001048336,0.01308286,0.0001427319,0.02528469,0.9578569,0.0000244484,0.00002538687,0.00001991552,0.002514764],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02152737,"threshold_uncertainty_score":0.04654872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110816435344094,"score_gpt":0.1824350311222645,"score_spread":0.1713268667688236,"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."}}