{"id":"W7018228094","doi":"","title":"Cycling network discontinuities and their effects on cyclist behaviour and safety","year":2019,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Federal Highway Administration; Fonds de recherche du Québec – Nature et technologies; Lunds Universitet; Fonds Québécois de la Recherche sur la Nature et les Technologies; Technische Universität München; U.S. Department of Transportation","keywords":"Cycling; Mode of transport; Mode (computer interface); Passenger transport; Rail network; Road transport; Public transport","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000396712,0.00018178,0.000191571,0.0007492637,0.0005867562,0.001470692,0.0005751207,0.0006406634,0.0292765],"category_scores_gemma":[0.003618249,0.0001422163,0.0003294893,0.0008903476,0.0003987014,0.0003850053,0.0006663345,0.0005165925,0.001339226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002673202,"about_ca_system_score_gemma":0.001687411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2991458,"about_ca_topic_score_gemma":0.4066502,"domain_scores_codex":[0.9997033,0.00008043695,0.0000065597,0.00005042581,0.0000595717,0.00009956803],"domain_scores_gemma":[0.9982469,0.0005796338,0.0003191491,0.00007757896,0.0002769984,0.0004997487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005790595,0.001499197,0.842201,0.0002308292,0.0004936797,0.0005724148,0.001844082,0.005693385,0.002710098,0.005439208,0.01159815,0.1219274],"study_design_scores_gemma":[0.00003273428,0.0002837836,0.9942372,0.00004060047,0.0000533759,0.00003265935,0.000842927,0.001152583,0.000110028,0.0005839015,0.002620383,0.000009789548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779128,0.001295294,0.0004632322,0.0009124528,0.00004802997,0.00004214313,0.001771018,0.00003241417,0.01752253],"genre_scores_gemma":[0.9851751,0.0003978489,0.0002247082,0.00005493782,0.00002528117,0.00003260233,0.0005185893,0.00001861036,0.01355241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2991458,"threshold_uncertainty_score":0.5948092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006073240542859439,"score_gpt":0.2134145057162295,"score_spread":0.2073412651733701,"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."}}