{"id":"W3003708186","doi":"10.1016/j.aap.2020.105439","title":"A composite zonal index for biking attractiveness and safety","year":2020,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Attractiveness; Transport engineering; Index (typography); Recreation; Crash; Poison control; Composite index; Centrality; Engineering; Geography; Computer science; Statistics; Environmental health; Mathematics; Psychology; Econometrics; Composite indicator; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005984766,0.00008621654,0.0002308869,0.00008853454,0.0004231697,0.0001147866,0.0001482156,0.00006568814,0.0002585424],"category_scores_gemma":[0.00004442352,0.00008821092,0.0002810843,0.0007077139,0.00006104829,0.000525118,0.00002415897,0.00007201875,0.000002640679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004443886,"about_ca_system_score_gemma":0.00004486509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007049252,"about_ca_topic_score_gemma":0.014431,"domain_scores_codex":[0.9988737,0.0001207534,0.0002718374,0.0003045857,0.0002602558,0.0001688394],"domain_scores_gemma":[0.9994749,0.00009018755,0.0001620397,0.00008284855,0.00008222827,0.0001078396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001004775,0.00003764009,0.9898942,0.000003963439,0.0003346617,6.478446e-7,0.001504633,0.00007373885,0.000153728,0.0003261425,0.00001179721,0.007558357],"study_design_scores_gemma":[0.0003303263,0.00001834349,0.9936318,0.00001073098,0.0009576788,2.7317e-8,0.0005215273,0.001179128,0.00009093652,0.001701414,0.001443675,0.0001144364],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8849102,0.0001710823,0.1129547,0.001212134,0.00003724099,0.0002926177,0.000001154767,0.00004146341,0.0003794295],"genre_scores_gemma":[0.9990623,0.0000418104,0.0003811655,0.00009820875,0.0001553506,0.00001812774,0.00008074172,0.000005204429,0.0001570626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1141522,"threshold_uncertainty_score":0.8052838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03645960689565322,"score_gpt":0.3435699759108091,"score_spread":0.3071103690151559,"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."}}