{"id":"W2248214702","doi":"","title":"CONDUCTING TELEPHONE ORIGIN-DESTINATION HOUSEHOLD SURVEYS WITH AN INTEGRATED INFORMATIONAL APPROACH","year":2000,"lang":"en","type":"article","venue":"Transportation research circular","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Travel survey; TRIPS architecture; Geocoding; Computer science; Trip distribution; Presentation (obstetrics); Set (abstract data type); Pedestrian; Travel behavior; Graphics; Modal; Operations research; Data science; Geography; Engineering","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":[0.0118723,0.0009943018,0.0007172839,0.005057793,0.0007359094,0.001672768,0.001112629,0.0009149248,0.007214691],"category_scores_gemma":[0.02401941,0.0008092433,0.0005214339,0.006844798,0.0005823352,0.001347516,0.002917395,0.0004996062,0.003046256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009393673,"about_ca_system_score_gemma":0.002243007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003962485,"about_ca_topic_score_gemma":0.008723775,"domain_scores_codex":[0.9712295,0.0237309,0.001198994,0.001387178,0.002071176,0.0003822503],"domain_scores_gemma":[0.9845285,0.007557508,0.001601251,0.003666742,0.002373852,0.0002721745],"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":[0.0009216199,0.0007547299,0.04002735,0.002033839,0.0001696386,0.0002501038,0.009457032,0.007067794,0.01761074,0.009261769,0.008512395,0.903933],"study_design_scores_gemma":[0.001665128,0.0132845,0.4034781,0.002378174,0.001840208,0.002666995,0.04051928,0.1233184,0.05102113,0.04833975,0.3106101,0.0008783843],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06551131,0.0004964701,0.8836808,0.0005078804,0.00009173003,0.0190433,0.006464323,0.002475529,0.02172866],"genre_scores_gemma":[0.0980542,0.0006343783,0.8698475,0.0003909318,0.00007995828,0.02446843,0.00219055,0.00007268498,0.004261328],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0118723,"threshold_uncertainty_score":0.06278741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1658229297594181,"score_gpt":0.3620318468997606,"score_spread":0.1962089171403425,"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."}}