{"id":"W7132973554","doi":"","title":"Analytics for Better Urban Cycling","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cycling; Context (archaeology); Metric (unit); Investment (military); Plan (archaeology); Bike sharing; Urban planning; Mode (computer interface)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005829736,0.001585115,0.0006617618,0.003064835,0.0005126555,0.003151315,0.001012013,0.0007714487,0.009534227],"category_scores_gemma":[0.00306077,0.0003534703,0.0007613131,0.00344602,0.0004457873,0.003185365,0.002133678,0.000977674,0.003578546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121437,"about_ca_system_score_gemma":0.001232983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02644216,"about_ca_topic_score_gemma":0.03704265,"domain_scores_codex":[0.9994523,0.00007895663,0.00003835504,0.0001695284,0.0001957558,0.00006505209],"domain_scores_gemma":[0.999238,0.0001399408,0.00008432147,0.0001463581,0.0003428376,0.00004856215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003218896,0.0002513041,0.04177758,0.001160509,0.0001663402,0.0003029485,0.0008545389,0.222023,0.008530965,0.05547852,0.1344477,0.5346847],"study_design_scores_gemma":[0.00003126012,0.000107816,0.02222878,0.0003720211,0.00007841702,0.0001483643,0.00205093,0.7228016,0.005661567,0.09031785,0.1560896,0.0001116795],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1036939,0.007768855,0.715474,0.007389582,0.0009633465,0.0005532891,0.07313216,0.02305102,0.06797384],"genre_scores_gemma":[0.6321292,0.006419257,0.2680616,0.0007069804,0.0004892317,0.00038442,0.07755607,0.001156094,0.01309717],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02644216,"threshold_uncertainty_score":0.05257654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964735128100741,"score_gpt":0.4016144901806649,"score_spread":0.3619671388996575,"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."}}