{"id":"W2977640696","doi":"10.13140/rg.2.2.21494.80963","title":"Comparison Between Trip and Trip Chain Models: Evidence from Montreal Commuter Train Corridor","year":2017,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Transport engineering; Geography; Engineering","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001286988,0.0002600449,0.0004735174,0.0001797657,0.001781331,0.0006799339,0.0007696775,0.0003553973,0.00003383484],"category_scores_gemma":[0.0004373315,0.0002741367,0.000106821,0.0001493862,0.000356764,0.001171988,0.0000617121,0.0003842205,0.000005556487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001823308,"about_ca_system_score_gemma":0.0002141979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.27443,"about_ca_topic_score_gemma":0.1127903,"domain_scores_codex":[0.9977065,0.0003223554,0.0005028774,0.00044601,0.000477999,0.0005442595],"domain_scores_gemma":[0.997863,0.0004823209,0.0004597901,0.0006929714,0.0001173634,0.0003845541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002140206,0.0001349203,0.8699647,0.00001971937,0.00007434589,0.00002838125,0.03136401,0.01004701,0.0001620632,0.004891573,0.003365638,0.07973368],"study_design_scores_gemma":[0.0008117355,0.00008164943,0.7817006,0.0001851797,0.00009419411,0.000001235002,0.001320669,0.2096495,0.0002559024,0.004397241,0.001083637,0.0004184472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4509255,0.00165396,0.5355612,0.008555342,0.0001731633,0.0007740344,0.0002375386,0.000556893,0.00156231],"genre_scores_gemma":[0.9717445,0.0006072916,0.02589306,0.0003745673,0.0002762004,0.0001208781,0.0001013583,0.00003355632,0.0008485456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.520819,"threshold_uncertainty_score":0.9999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05761718857143944,"score_gpt":0.3161587102405775,"score_spread":0.2585415216691381,"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."}}