{"id":"W2612954906","doi":"","title":"New Methods for Resilient Societies: The Geographical Analysis of Injury Data","year":2017,"lang":"en","type":"article","venue":"Sapientia (Algarve University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Toronto Metropolitan University","funders":"","keywords":"Geography","routes":{"ca_aff":true,"ca_fund":false,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001536213,0.0000923385,0.0002433847,0.0002226681,0.001736857,0.0001138362,0.002674146,0.0001102164,0.0003089207],"category_scores_gemma":[0.0002401823,0.00007770149,0.0003639618,0.0008152793,0.0009843686,0.0005646053,0.0003192436,0.0001116578,0.000001133983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003456127,"about_ca_system_score_gemma":0.0002430402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006015864,"about_ca_topic_score_gemma":0.01081773,"domain_scores_codex":[0.9987428,0.0001977942,0.0001622193,0.0003944961,0.0002459193,0.0002567386],"domain_scores_gemma":[0.9977847,0.0002279173,0.0002627436,0.001441445,0.0001611197,0.0001220779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003458993,0.0002102146,0.8215874,0.00004735578,0.00283125,0.000004188609,0.007811864,0.000008859611,0.0001929348,0.09691374,0.01594957,0.05409671],"study_design_scores_gemma":[0.0005008833,0.00004232051,0.4916191,0.00001388161,0.004124894,1.714587e-8,0.004003608,0.0004170149,0.0002229921,0.004453608,0.4943659,0.0002358123],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.560977,0.0005962028,0.3775031,0.005340538,0.001347574,0.001347822,0.000817093,0.0001395727,0.05193108],"genre_scores_gemma":[0.9641938,0.0002832748,0.02126751,0.00005940976,0.0001326639,7.37903e-7,0.0001108329,0.000009704077,0.01394208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4784163,"threshold_uncertainty_score":0.9995627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04744229549722653,"score_gpt":0.3830297296880489,"score_spread":0.3355874341908224,"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."}}