{"id":"W2943844449","doi":"10.1139/cjce-2018-0777","title":"Microscopic behavioural analysis of cyclist and pedestrian interactions in shared spaces","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"","keywords":"Pedestrian; Shared space; Collision; Collision avoidance; Downtown; Space (punctuation); Computer science; Set (abstract data type); Simulation; Transport engineering; Human–computer interaction; Geography; Engineering; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001838019,0.0002365337,0.000279171,0.000954322,0.0005755931,0.0005689803,0.0003337293,0.0001943415,0.001378806],"category_scores_gemma":[0.0008713254,0.0001743411,0.0001894194,0.0007085935,0.0004469489,0.0004613958,0.0007698133,0.0001760387,0.0001722443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009980957,"about_ca_system_score_gemma":0.0007448065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1280791,"about_ca_topic_score_gemma":0.1823964,"domain_scores_codex":[0.9998042,0.00003304678,0.000006110406,0.00004920285,0.0000653366,0.00004217097],"domain_scores_gemma":[0.9997138,0.0000598927,0.00007197139,0.00002314564,0.0000725553,0.00005850373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006054592,0.0002327781,0.7971351,0.0002269005,0.0003415081,0.001123588,0.009009184,0.0889107,0.04922501,0.002147026,0.001128187,0.04991453],"study_design_scores_gemma":[0.000007633941,0.0001548613,0.8888022,0.0000216319,0.00004242217,0.0002565991,0.007272582,0.09955221,0.002159263,0.0005531425,0.001137203,0.00004029283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967032,0.00002593376,0.002354513,0.000010402,0.000001665752,0.00001412342,0.00009413028,0.00001781861,0.000778158],"genre_scores_gemma":[0.998676,0.00002594015,0.000835509,0.000002536547,8.71004e-7,0.000007958095,0.00009865647,0.000002987407,0.0003495493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1280791,"threshold_uncertainty_score":0.2546672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009723047001218545,"score_gpt":0.2166903435376049,"score_spread":0.2069672965363863,"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."}}