{"id":"W4253106346","doi":"10.32920/ryerson.14662812","title":"Why don't we bike to the Go? Exploring the potential for cycling to suburban transit stations","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":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Cycling; Recreation; Transport engineering; Mile; Transit (satellite); Perception; Typology; Geography; Engineering; Public transport; Psychology; Forestry; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005799273,0.0001088529,0.0001356783,0.0007665097,0.0006798857,0.00130604,0.000288998,0.0003644964,0.004352593],"category_scores_gemma":[0.001955572,0.00009504613,0.0002116998,0.0005560997,0.0004786644,0.0009852129,0.0004824258,0.0003200099,0.0003107476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004640577,"about_ca_system_score_gemma":0.0004714788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135033,"about_ca_topic_score_gemma":0.0399182,"domain_scores_codex":[0.9997221,0.0001367562,0.0000116691,0.00002807266,0.0000489405,0.00005242023],"domain_scores_gemma":[0.999089,0.0003366155,0.0002289444,0.00002903435,0.00012562,0.000190798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002327102,0.0001454529,0.8984479,0.0001541847,0.0000586851,0.0003830035,0.05388371,0.000549047,0.001785679,0.002579114,0.0007692402,0.04101128],"study_design_scores_gemma":[0.000009311064,0.0002747051,0.7819291,0.0001007637,0.00003520829,0.0004126735,0.2068128,0.001884586,0.0002833471,0.001693199,0.006538276,0.00002595807],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997368,0.00004178254,0.0002115842,0.00009483862,0.000001920662,0.000006156086,0.00003397829,0.000001786446,0.00224003],"genre_scores_gemma":[0.9991874,0.00009038964,0.0001414088,0.00001904685,0.000002343766,0.000005820322,0.00002736308,0.000001473561,0.000524706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9886497,"threshold_uncertainty_score":0.02256852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.086318953034884,"score_gpt":0.3321806256043063,"score_spread":0.2458616725694223,"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."}}