{"id":"W4415129242","doi":"10.1007/s12469-025-00400-2","title":"Evaluating the accessibility impact of integrated micromobility and transit systems: a case study of Calgary, Canada","year":2025,"lang":"en","type":"article","venue":"Public Transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Chiang Mai University","keywords":"Public transport; Service provider; Transit (satellite); Service (business); Universal design; Multimodal transport; Inclusion (mineral); Physical access; Psychological intervention","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":[0.001308879,0.0007762963,0.0006667198,0.001869983,0.007357894,0.003941507,0.002213762,0.001212056,0.00217199],"category_scores_gemma":[0.003952801,0.0004856974,0.0006314546,0.004790659,0.002538153,0.001050503,0.002163661,0.00126029,0.0001947554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0910358,"about_ca_system_score_gemma":0.06330719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951385,"about_ca_topic_score_gemma":0.9980058,"domain_scores_codex":[0.9975611,0.0005002209,0.00006120486,0.0001827259,0.0006749954,0.001019734],"domain_scores_gemma":[0.9974565,0.0006365968,0.0001380211,0.00007822034,0.001294552,0.0003961401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001796468,0.004367542,0.6497307,0.001254242,0.0008174289,0.01807272,0.05637782,0.08757032,0.006141736,0.01868436,0.0103117,0.144875],"study_design_scores_gemma":[0.0003603298,0.001804842,0.5888218,0.0005140349,0.000623947,0.0009720512,0.3101272,0.06519736,0.003437218,0.001677785,0.02625358,0.0002097826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910471,0.0001970596,0.0003104291,0.0002079806,0.000007477208,0.0001683954,0.0002295009,0.00001014879,0.007821911],"genre_scores_gemma":[0.9957666,0.0003034023,0.000949164,0.00005655301,0.000003101186,0.0000339874,0.0001842999,0.00001038871,0.002692498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0910358,"threshold_uncertainty_score":0.660514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05720927273151067,"score_gpt":0.3820731663339766,"score_spread":0.3248638936024659,"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."}}