{"id":"W4386332838","doi":"10.32920/24066273.v1","title":"Towards safe, sustainable, and equitable e-scooter policy in Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Equity (law); Sustainability; Business; Social equality; Public transport; Sustainable transport; Economic growth; Environmental planning; Political science; Transport engineering; Geography; Engineering; Economics","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":[0.003537168,0.0003011511,0.0004185154,0.001992513,0.01383406,0.008175949,0.001923899,0.001937208,0.006993513],"category_scores_gemma":[0.008204294,0.0003594456,0.0004849864,0.004230661,0.004933536,0.002406101,0.004145232,0.002611831,0.0004074106],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2193888,"about_ca_system_score_gemma":0.5031831,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981827,"about_ca_topic_score_gemma":0.9988545,"domain_scores_codex":[0.9947214,0.0007129765,0.000152821,0.0003270174,0.001668248,0.002417394],"domain_scores_gemma":[0.989712,0.001019909,0.0002801987,0.0001853329,0.005064353,0.0037382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001666437,0.0003547708,0.05940649,0.001015142,0.0001312327,0.0008637656,0.02100923,0.01419164,0.001920101,0.5844214,0.1712983,0.1452214],"study_design_scores_gemma":[0.0001020821,0.0001107734,0.1552011,0.001766443,0.0001021169,0.0001230754,0.07577295,0.01615348,0.00150202,0.05148194,0.6974355,0.0002485696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4206152,0.01190297,0.008735555,0.2386716,0.0006547154,0.0004895877,0.003145152,0.0003096659,0.3154756],"genre_scores_gemma":[0.9283819,0.006040398,0.006988592,0.01008433,0.00004869387,0.0001440122,0.0008463833,0.00007671522,0.047389],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2193888,"threshold_uncertainty_score":0.9053984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161448601036419,"score_gpt":0.3193971259137133,"score_spread":0.2877826399033491,"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."}}