{"id":"W7096358341","doi":"","title":"Session Paper Conducting Telephone Origin–Destination Household Surveys With an Integrated Informational Approach ABSTRACT","year":2009,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Geocoding; Multidisciplinary approach; Presentation (obstetrics); Session (web analytics); Set (abstract data type); Microcomputer","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":[0.01729351,0.0003898201,0.0003608235,0.001612571,0.001267764,0.001966958,0.000886145,0.0007544578,0.06988907],"category_scores_gemma":[0.024028,0.0003987158,0.0002839938,0.001701689,0.0003722697,0.001095375,0.001411255,0.0004314688,0.01568353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008487752,"about_ca_system_score_gemma":0.002442612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002132599,"about_ca_topic_score_gemma":0.002508537,"domain_scores_codex":[0.9888549,0.008112321,0.0004536632,0.0008482611,0.001407546,0.0003234016],"domain_scores_gemma":[0.9836564,0.006969509,0.0008734018,0.001973066,0.005753973,0.0007736746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001766481,0.001421174,0.04660119,0.001404942,0.0001298705,0.0003072712,0.008334451,0.001692841,0.02192601,0.007544468,0.145604,0.7632673],"study_design_scores_gemma":[0.0008842983,0.005835615,0.161541,0.001056153,0.0002827042,0.0004139641,0.0170533,0.007893803,0.02700451,0.005505976,0.7723466,0.0001821624],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2688607,0.001084264,0.355818,0.006044954,0.004022141,0.06525226,0.0187014,0.003510124,0.2767062],"genre_scores_gemma":[0.4567046,0.001058716,0.340757,0.00188517,0.001433459,0.04395162,0.006165644,0.000342011,0.1477019],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06988907,"threshold_uncertainty_score":0.2338022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07913603075712652,"score_gpt":0.3170248991505997,"score_spread":0.2378888683934731,"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."}}