{"id":"W637683351","doi":"","title":"Activity Space Geometry and Its Effect on Mode Choice","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compact space; Space (punctuation); Measure (data warehouse); Mode (computer interface); Work (physics); Built environment; Field (mathematics); Transit (satellite); Transport engineering; Geography; Mode choice; Mathematics; Computer science; Statistics; Econometrics; Public transport; Engineering; Civil engineering; Human–computer interaction; Mathematical analysis; Data mining; Pure mathematics","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":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008481899,0.0005474702,0.0007195362,0.001484096,0.002981191,0.0005842496,0.0009499303,0.0005894942,0.0013976],"category_scores_gemma":[0.001406648,0.0005280284,0.000270016,0.003382969,0.001699342,0.00251816,0.00001859153,0.002711451,0.0004478906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000343982,"about_ca_system_score_gemma":0.000619404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1040059,"about_ca_topic_score_gemma":0.05789164,"domain_scores_codex":[0.9861887,0.002742211,0.0008848922,0.001675965,0.005980483,0.0025278],"domain_scores_gemma":[0.9899843,0.00423833,0.0002112193,0.0006275862,0.0035597,0.00137885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001720159,0.001164729,0.9037742,0.001282624,0.0002138685,0.0001436753,0.02977528,0.0002924668,0.0184296,0.01788787,0.008123391,0.01719215],"study_design_scores_gemma":[0.001484911,0.0009902434,0.9701479,0.000248533,0.00003728072,5.888561e-8,0.004839138,0.0001810533,0.006073383,0.001459692,0.01393123,0.0006065678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981055,0.0002786506,0.00005910835,0.006968328,0.0002099707,0.003761601,0.0002946021,0.000363478,0.007009271],"genre_scores_gemma":[0.9936957,0.000371982,0.0002159603,0.00009035269,0.0004395073,0.0008880132,0.0001496772,0.00009727939,0.004051527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06637372,"threshold_uncertainty_score":0.9997171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05622080866899311,"score_gpt":0.4153647392925855,"score_spread":0.3591439306235924,"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."}}