{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001039217,0.0003641682,0.0002783503,0.0006652216,0.0004632741,0.001475287,0.000630023,0.0005846496,0.01052155],"category_scores_gemma":[0.009956205,0.0002523079,0.001058047,0.0008856036,0.0009893234,0.0004398303,0.001051872,0.0006853809,0.0008373732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076808,"about_ca_system_score_gemma":0.0009455456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05297915,"about_ca_topic_score_gemma":0.05329312,"domain_scores_codex":[0.9984384,0.000937383,0.00004877717,0.0001945615,0.0001876381,0.0001932437],"domain_scores_gemma":[0.9873598,0.007497938,0.001850705,0.0008425814,0.0005490395,0.001899792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007208969,0.0001982234,0.9884134,0.00001452564,0.0002373494,0.0001394176,0.0003399544,0.001025794,0.000938954,0.0004643664,0.0001857465,0.007321457],"study_design_scores_gemma":[0.000005254674,0.0002015065,0.9974432,0.000007947468,0.00005880869,0.00006829517,0.0002695866,0.001192414,0.000118856,0.0002595273,0.0003673633,0.000007288848],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963712,0.0001995082,0.0003747985,0.0001403702,0.000008171382,0.000008971743,0.0002656546,0.00002164351,0.00260978],"genre_scores_gemma":[0.9983301,0.00008364691,0.0002682996,0.0000113121,0.000006380965,0.000007054158,0.0001204775,0.00001121232,0.001161488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05297915,"threshold_uncertainty_score":0.1053416,"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."}}