{"id":"W2021053817","doi":"10.3141/1807-21","title":"Household Activity Rescheduling in Response to Automobile Reduction Scenarios","year":2002,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Université Laval; Wilfrid Laurier University","funders":"","keywords":"Sample (material); Scheduling (production processes); Task (project management); Descriptive statistics; Adaptation (eye); Operations research; Travel behavior; Variety (cybernetics); Process (computing); Computer science; Business; Operations management; Marketing; Transport engineering; Economics; Engineering; Psychology; Statistics; 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":[0.001468266,0.0002169832,0.0002688683,0.0001966083,0.000187079,0.0003597085,0.0004092182,0.0004977272,0.001181912],"category_scores_gemma":[0.00782909,0.0001528421,0.0002314118,0.0002586133,0.0002278155,0.0003410137,0.0003751916,0.000427695,0.0001704258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808671,"about_ca_system_score_gemma":0.0002473703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003713948,"about_ca_topic_score_gemma":0.005245516,"domain_scores_codex":[0.9990804,0.0006076583,0.00004168736,0.0000961532,0.00009329715,0.00008078893],"domain_scores_gemma":[0.9963751,0.002542752,0.0003666978,0.0003736294,0.0002203529,0.0001215155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006499507,0.007308007,0.4409468,0.0004921156,0.0004052687,0.0008340417,0.01035821,0.2865402,0.09135731,0.002150255,0.002250208,0.1508581],"study_design_scores_gemma":[0.000183453,0.009221956,0.6011103,0.00004543051,0.0001102791,0.0001527429,0.01007958,0.3432201,0.0295158,0.00367502,0.002534942,0.0001502236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988157,0.000004131097,0.0007073684,0.00001935149,0.00000193189,0.00004457204,0.00005116271,0.00001534969,0.0003404819],"genre_scores_gemma":[0.9986098,0.000008444033,0.001051132,0.00001342277,0.000001056318,0.00004442161,0.00008626139,0.000002113208,0.0001833492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003713948,"threshold_uncertainty_score":0.007765055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1443020935561976,"score_gpt":0.4098910150846721,"score_spread":0.2655889215284745,"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."}}