{"id":"W4242857523","doi":"10.32920/ryerson.14668410","title":"Secure bicycle parking: downtown Toronto office buildings","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Zoning; Transport engineering; Traffic congestion; Business; Cycling; Environmental planning; Engineering; Civil engineering; Geography","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":[0.000139815,0.0002115664,0.00006791692,0.0004918423,0.001351517,0.001605733,0.0003075888,0.0002276525,0.01078465],"category_scores_gemma":[0.0005538031,0.0001075306,0.0000849386,0.00206206,0.0006052243,0.0004797369,0.0006549902,0.0001917698,0.0004982841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01165561,"about_ca_system_score_gemma":0.005730646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8664826,"about_ca_topic_score_gemma":0.9645699,"domain_scores_codex":[0.9998154,0.00002632985,0.000007167671,0.00002175963,0.0000699747,0.00005938461],"domain_scores_gemma":[0.9997099,0.00002844326,0.00004718774,0.00001839303,0.0001016788,0.00009436049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004603201,0.0001232312,0.3542892,0.001549334,0.00004843713,0.004223424,0.04940942,0.01612076,0.01041782,0.1215923,0.1518914,0.2898744],"study_design_scores_gemma":[0.00001275224,0.00007832727,0.626846,0.0002623251,0.00003494887,0.0005460269,0.03727131,0.003979644,0.002100822,0.002660218,0.3261641,0.00004359053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7951786,0.004049518,0.00410357,0.004100796,0.0001327422,0.000125629,0.004806047,0.000136213,0.1873668],"genre_scores_gemma":[0.9679477,0.002296351,0.002063072,0.00008630592,0.00002324461,0.00001632771,0.001616334,0.00002193849,0.02592879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1335174,"threshold_uncertainty_score":0.2686075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0243282817350295,"score_gpt":0.3157929119903782,"score_spread":0.2914646302553487,"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."}}