{"id":"W1967238195","doi":"10.3141/2054-10","title":"Examining the Nature and Extent of the Activity-Travel Preplanning Decision Process","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Interview; TRIPS architecture; Schedule; Computer science; Operations research; Process (computing); Psychology; Decision process; Scheduling (production processes); Event (particle physics); Point (geometry); Operations management; Management science; Engineering; Mathematics","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":[0.01087503,0.0002539774,0.0003403082,0.001401866,0.0009237701,0.002428613,0.0005937724,0.0005434686,0.002264915],"category_scores_gemma":[0.05857474,0.0005308872,0.0004325204,0.001623074,0.001727954,0.003299435,0.001648234,0.001131295,0.0001618798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162828,"about_ca_system_score_gemma":0.002773212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006778699,"about_ca_topic_score_gemma":0.008418035,"domain_scores_codex":[0.9910238,0.005804495,0.0005040311,0.0008641508,0.001238451,0.0005651243],"domain_scores_gemma":[0.8790514,0.103772,0.008470656,0.003376479,0.004334431,0.0009949217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001361778,0.000924355,0.5439082,0.001470086,0.0002037625,0.0004863646,0.2094243,0.01583582,0.01243316,0.03493094,0.0005214473,0.1784998],"study_design_scores_gemma":[0.0000982084,0.001181995,0.7414871,0.0004190658,0.0001533346,0.0005356408,0.1529515,0.04773701,0.007762237,0.03003502,0.01747667,0.0001620689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656134,0.000147355,0.02535441,0.0001896232,0.000004425157,0.0003280798,0.000211495,0.00002430348,0.008126848],"genre_scores_gemma":[0.9889319,0.0001042937,0.01027973,0.00001724514,0.000002838744,0.000149528,0.0001253516,0.000006810015,0.0003822831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01087503,"threshold_uncertainty_score":0.05751336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1268352469295797,"score_gpt":0.4293679514159237,"score_spread":0.302532704486344,"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."}}