{"id":"W4415224870","doi":"10.31224/5600","title":"Evolution of dedicated cycling infrastructure in three Canadian cities: 2009 to 2022","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Cycling; Critical infrastructure; Work (physics); Water infrastructure; Transport infrastructure; Transportation infrastructure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298164,0.000684365,0.0005529196,0.003358247,0.002698112,0.002721017,0.002484094,0.0006164658,0.002351967],"category_scores_gemma":[0.00468593,0.0005081962,0.0009061897,0.01023217,0.0008821751,0.0008673969,0.002032332,0.00105564,0.0005211888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07465931,"about_ca_system_score_gemma":0.06970827,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986579,"about_ca_topic_score_gemma":0.9993201,"domain_scores_codex":[0.9977404,0.00008114022,0.0001061298,0.0002797372,0.001160996,0.0006317174],"domain_scores_gemma":[0.9913858,0.0001471734,0.0006632565,0.0002051372,0.00676572,0.0008328905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001847409,0.00004759489,0.937678,0.0002663292,0.0001667633,0.0002375933,0.002803622,0.002143327,0.0006793354,0.0009274241,0.01781954,0.03704571],"study_design_scores_gemma":[0.000004746919,0.00001586351,0.9854885,0.00007120036,0.00004313643,0.00005866621,0.00342918,0.001612657,0.0002067332,0.00005252955,0.008985314,0.00003147056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8930927,0.002351349,0.00145447,0.002782654,0.00009911366,0.0002184919,0.08274114,0.0003218653,0.01693829],"genre_scores_gemma":[0.9700406,0.0009981843,0.001494648,0.0003272229,0.00001325149,0.00008845114,0.02221567,0.00005364121,0.00476847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07465931,"threshold_uncertainty_score":0.5416937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414735778719089,"score_gpt":0.2884599740242422,"score_spread":0.2743126162370513,"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."}}