{"id":"W571077426","doi":"","title":"ORIGIN-DESTINATION TRAVEL SURVEY SOFTWARE: COGNITIVE AND TECHNOLOGICAL ASSISTANCE","year":2001,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pace; Relevance (law); Travel behavior; Computer science; Structuring; Transport engineering; Data science; Survey data collection; Transportation planning; Travel survey; Knowledge management; Operations research; Business; Engineering; Geography","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":[0.002909869,0.0002108646,0.000289971,0.0003004226,0.001102699,0.000214586,0.0003155027,0.0003525574,0.0001341847],"category_scores_gemma":[0.004121968,0.0002168389,0.00008754496,0.001202734,0.0008717537,0.0002906704,0.00005512689,0.0003628727,0.00001734389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004212442,"about_ca_system_score_gemma":0.0003295668,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06940217,"about_ca_topic_score_gemma":0.2421398,"domain_scores_codex":[0.9975682,0.0006150436,0.0003411909,0.0004915607,0.0004450633,0.0005388858],"domain_scores_gemma":[0.9980433,0.0009005535,0.0001689937,0.0003027182,0.0003349495,0.0002495121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001000079,0.0003518949,0.7560465,0.00001404515,0.00004712956,0.0000341219,0.001043764,0.00006578177,0.0002139222,0.04502206,0.0003006178,0.1967601],"study_design_scores_gemma":[0.000387518,0.00007688183,0.9817147,0.00005089111,0.00005770914,0.00001097777,0.001719345,0.004368362,0.0002982257,0.008914034,0.001983768,0.0004176323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3623438,0.0005346133,0.6315452,0.003064746,0.0000357489,0.0004883943,0.00004229826,0.0005909238,0.001354328],"genre_scores_gemma":[0.9915702,0.0004721148,0.005381321,0.0006573036,0.00007095707,0.0002325737,0.0000555545,0.00002000252,0.001539958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6292264,"threshold_uncertainty_score":0.9367948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02549679474821303,"score_gpt":0.2854553295080126,"score_spread":0.2599585347597996,"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."}}