{"id":"W603504559","doi":"","title":"REDUCING CAR USE FOR SHORT TRIPS {PRIVATE}","year":2001,"lang":"en","type":"article","venue":"Selected Proceedings of the 9th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Work (physics); Public transport; Transport engineering; Quarter (Canadian coin); Scope (computer science); Government (linguistics); Business; Order (exchange); Kilometer; Mode choice; Engineering; Geography; Finance; Computer science","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":[0.0006048108,0.0003096428,0.0002261336,0.001043441,0.0009873911,0.000950576,0.001165819,0.0005759005,0.03424515],"category_scores_gemma":[0.002173536,0.0001359956,0.0005387276,0.001115325,0.0003428822,0.0008422185,0.001668016,0.0004611184,0.005084333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008153745,"about_ca_system_score_gemma":0.002017413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02909932,"about_ca_topic_score_gemma":0.08233252,"domain_scores_codex":[0.9993452,0.0001852813,0.00002607459,0.00006466011,0.0002137531,0.0001650027],"domain_scores_gemma":[0.998319,0.0001880958,0.0003575506,0.0002363488,0.0004449122,0.0004541943],"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":[0.0003179875,0.001113823,0.1793284,0.001757784,0.0001872371,0.0003150484,0.00499368,0.003957664,0.01494561,0.009431256,0.04890696,0.7347445],"study_design_scores_gemma":[0.00003110763,0.001185187,0.7741026,0.0005043254,0.0001148943,0.0004779295,0.01132648,0.002152798,0.002495579,0.003290425,0.2042557,0.00006292016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8448465,0.002307185,0.00669125,0.004792663,0.0001665132,0.0003463832,0.002115375,0.0005838208,0.1381503],"genre_scores_gemma":[0.9639851,0.001251103,0.004904101,0.0004469329,0.00006523469,0.0001334982,0.0009763053,0.00004590508,0.02819186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03424515,"threshold_uncertainty_score":0.1145615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1920078773678373,"score_gpt":0.3864947490344177,"score_spread":0.1944868716665804,"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."}}