{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002415305,0.0008578353,0.0005375369,0.002867265,0.0004179691,0.001104811,0.001399988,0.0005285809,0.02010232],"category_scores_gemma":[0.007436027,0.0007943772,0.0006024739,0.002408671,0.0003576112,0.001366852,0.002102931,0.0008835517,0.007132878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007881224,"about_ca_system_score_gemma":0.001494913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01127225,"about_ca_topic_score_gemma":0.01219967,"domain_scores_codex":[0.999094,0.0002547274,0.0001108866,0.0001382677,0.0003227483,0.00007935657],"domain_scores_gemma":[0.994435,0.003150925,0.0002390585,0.00095288,0.000862385,0.0003596509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001079248,0.0006125019,0.02370176,0.001053892,0.0002780895,0.0008103718,0.004360413,0.01036889,0.02095254,0.01347017,0.1436955,0.7796167],"study_design_scores_gemma":[0.0006497392,0.0003742203,0.04661245,0.0004664572,0.0002029787,0.001161906,0.0009748356,0.1388088,0.03009321,0.009265938,0.7709906,0.0003989173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.03809309,0.0004237639,0.6098464,0.0005344221,0.00010418,0.002073645,0.0219171,0.3032092,0.02379824],"genre_scores_gemma":[0.1808876,0.0009298699,0.7219174,0.0006457382,0.0001414649,0.004396437,0.03821578,0.02580134,0.0270643],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02010232,"threshold_uncertainty_score":0.06724894,"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."}}