{"id":"W3048056907","doi":"","title":"The application of latent class analysis for investigating influential factors for crashes involved cyclists in Toronto, Canada","year":2020,"lang":"en","type":"article","venue":"DR-NTU (Nanyang Technological University)","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent class model; Class (philosophy); Geography; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007659903,0.0001453863,0.0003787212,0.0001804514,0.0003088971,0.00004879082,0.001481651,0.0001824039,0.00001014808],"category_scores_gemma":[0.003407428,0.0001035572,0.00019958,0.002458102,0.0003005243,0.0001528123,0.0002422779,0.0001143129,0.00000154877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004032538,"about_ca_system_score_gemma":0.0001415928,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03127775,"about_ca_topic_score_gemma":0.5604573,"domain_scores_codex":[0.9981683,0.0001205166,0.00053463,0.0005053628,0.000413209,0.0002579162],"domain_scores_gemma":[0.9963453,0.002274461,0.0004640479,0.0005207367,0.0002859166,0.0001095515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001020104,0.0000679618,0.3925266,0.00002565976,0.0002163768,0.000001974906,0.0002884432,0.002271128,0.008811775,0.5880008,0.0006498427,0.007037417],"study_design_scores_gemma":[0.002616896,0.0003382763,0.4265956,0.00004060999,0.0006717414,5.696131e-7,0.0405135,0.1188355,0.01841838,0.09294025,0.2979074,0.001121265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8980162,0.0000340544,0.09699543,0.003308636,0.00003617258,0.001082732,0.0001163065,0.0001028836,0.0003076117],"genre_scores_gemma":[0.9988316,0.000003342346,0.0009191114,0.00007482239,0.00001120334,0.00003278671,0.00002256978,0.000006463712,0.00009805674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5291795,"threshold_uncertainty_score":0.9751731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07867150772803225,"score_gpt":0.2997517454468042,"score_spread":0.2210802377187719,"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."}}