{"id":"W2241789229","doi":"","title":"MOVING BEYOND OBSERVED OUTCOMES: INTEGRATING GLOBAL POSITIONING SYSTEMS AND INTERACTIVE COMPUTER-BASED TRAVEL BEHAVIOR SURVEYS","year":2001,"lang":"en","type":"article","venue":"Transportation research circular","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Travel behavior; Computer science; Travel survey; Geographic information system; Key (lock); Transport engineering; Data science; Geography; Engineering; Computer security; Telecommunications; Cartography","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":[0.003901508,0.0001850789,0.0003136128,0.000142978,0.001014996,0.0003790782,0.0002927062,0.0001526493,0.0001003354],"category_scores_gemma":[0.0000868615,0.0001852915,0.0001220594,0.00080845,0.0004016971,0.0006926279,0.00000497942,0.0004177801,0.000005982546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003133557,"about_ca_system_score_gemma":0.0003112033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04504805,"about_ca_topic_score_gemma":0.02417815,"domain_scores_codex":[0.9961222,0.001157741,0.0005011918,0.0005155709,0.001118263,0.000585013],"domain_scores_gemma":[0.9983382,0.0004118569,0.0001187652,0.0002118194,0.0006408253,0.0002785473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001942127,0.0001635221,0.9908595,0.00005719412,0.0000313276,0.0001209141,0.003583379,0.0001488905,0.0003542504,0.001722918,0.000006596852,0.002932101],"study_design_scores_gemma":[0.000554755,0.00005449405,0.9905622,0.000101764,0.00003552593,4.723367e-7,0.006537411,0.001678832,0.00002833997,0.0001925433,0.00006186323,0.0001917972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9206118,0.0001516366,0.07721339,0.0002328998,0.0002001208,0.0007996117,0.0001017206,0.00009746611,0.0005913597],"genre_scores_gemma":[0.9987839,0.00001358816,0.0006267164,0.00004094498,0.00008707754,0.0001024494,0.0002535315,0.00001621024,0.00007556502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07817212,"threshold_uncertainty_score":0.993628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09698475524988102,"score_gpt":0.3930461915041096,"score_spread":0.2960614362542286,"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."}}