{"id":"W4254901266","doi":"10.1177/0361198105192600103","title":"Analysis of Factors Affecting the Frequency and Type of Activity Schedule Modification","year":2005,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Scheduling (production processes); Schedule; Computer science; Operations research; Engineering; Operations management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006074392,0.0001408419,0.0004090932,0.001111419,0.0008161372,0.00006097462,0.0006151929,0.0001631712,0.0001543481],"category_scores_gemma":[0.0004785332,0.00009730551,0.0002929759,0.004793222,0.001029559,0.0006594261,0.000002817352,0.000942502,0.000001171894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001212096,"about_ca_system_score_gemma":0.0005845682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0221565,"about_ca_topic_score_gemma":0.1027037,"domain_scores_codex":[0.9942578,0.001499976,0.0009743755,0.0002452572,0.002601306,0.0004212959],"domain_scores_gemma":[0.9933302,0.001771402,0.0007883564,0.0003032698,0.003627364,0.0001794392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004059177,0.0001899725,0.9273736,0.00008761652,0.0004557289,0.000001932141,0.03698048,0.02044976,0.005018389,0.005219672,0.0001030073,0.003713855],"study_design_scores_gemma":[0.0003873248,0.0001648647,0.9851922,0.00009319367,0.0002955805,2.879878e-8,0.009954737,0.0006005586,0.002424134,0.0003037866,0.0004948436,0.00008873158],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949608,0.0002060012,0.001904046,0.001993269,0.0001519008,0.00052155,0.00005177643,0.00001415211,0.0001964428],"genre_scores_gemma":[0.9974129,0.0008917889,0.001419735,0.000008126027,0.00006965171,0.000007564347,0.00002087134,0.00001695268,0.0001524277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08054715,"threshold_uncertainty_score":0.984355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1582687938641182,"score_gpt":0.4430152017521544,"score_spread":0.2847464078880361,"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."}}