{"id":"W7152944972","doi":"","title":"Moving Healthy Cities Forward: The state of cycling infrastructure in Canada","year":2025,"lang":"en","type":"article","venue":"TSpace","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Cycling; Urban infrastructure; Democracy; Government (linguistics); Critical infrastructure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002098916,0.00006810577,0.0001330857,0.0000353734,0.0001723699,0.00002199253,0.0002437421,0.00002514132,0.00005620036],"category_scores_gemma":[0.0001060545,0.00004979206,0.00002207231,0.0003115916,0.00009944241,0.00008292346,0.00004543018,0.0001733553,3.78397e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004050583,"about_ca_system_score_gemma":0.002322091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9771742,"about_ca_topic_score_gemma":0.988305,"domain_scores_codex":[0.9991736,0.00007468982,0.0001595775,0.0001000309,0.000233934,0.0002581615],"domain_scores_gemma":[0.9996099,0.0001003635,0.0000933984,0.000127968,0.0000381531,0.00003020935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001396348,0.00001279855,0.5238563,0.0002326443,0.00007108498,0.00001820098,0.3041755,0.02018163,0.0005607263,0.02842089,0.06798889,0.05434165],"study_design_scores_gemma":[0.0006160801,0.00002987849,0.5791541,0.0002481852,0.00001477894,7.115908e-7,0.1907178,0.0004662518,0.00244421,0.0406309,0.1853826,0.0002945191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776946,0.000304801,0.00005928689,0.00596165,0.0003751223,0.0001240624,0.000007242847,0.00000883491,0.01546438],"genre_scores_gemma":[0.9963039,0.0001551593,0.0000925429,0.001092981,0.00004368774,0.000003318726,6.623156e-7,0.000003556056,0.002304172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1173937,"threshold_uncertainty_score":0.4119289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006991953943644356,"score_gpt":0.2896787679123655,"score_spread":0.2826868139687211,"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."}}