{"id":"W2922138702","doi":"10.1155/2019/9561403","title":"An Analysis of Habitual Mode Use in the Years of Rising Oil Prices","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Korean Urban and Social Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Land, Infrastructure and Transport","keywords":"Public transport; Christian ministry; Probit model; Mode choice; Mode (computer interface); Panel data; Probit; Panel survey; State (computer science); Ordered probit; Survey data collection; Business; Transport engineering; Econometrics; Economics; Public economics; Demographic economics; Computer science; Engineering; Political science; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006587137,0.0001447594,0.0002131878,0.001037942,0.0002115474,0.0006037753,0.0003625735,0.0004605133,0.002082289],"category_scores_gemma":[0.003490206,0.0001815553,0.000541008,0.001497209,0.0001596814,0.0005069743,0.0004192808,0.0005176276,0.0004283356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002861237,"about_ca_system_score_gemma":0.0002457209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01510146,"about_ca_topic_score_gemma":0.01559979,"domain_scores_codex":[0.9996717,0.00009001743,0.00003756627,0.0000807617,0.00004878738,0.00007126352],"domain_scores_gemma":[0.9963112,0.001084944,0.001545682,0.0003056861,0.0003863965,0.0003660607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006920382,0.00005910065,0.9965389,0.000005844668,0.00006071593,0.00006030138,0.0002240472,0.0004284102,0.00030959,0.00009825316,0.0001462849,0.00199944],"study_design_scores_gemma":[0.000001258267,0.00002758554,0.9967265,0.000002236645,0.00001357469,0.00003290191,0.0002339567,0.002653019,0.00007156872,0.00004750898,0.0001845191,0.000005389818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989476,0.00002248486,0.0001965249,0.00002621479,0.000002256633,0.000003523267,0.0005111868,0.000004599125,0.000285628],"genre_scores_gemma":[0.9987373,0.00002183818,0.00009755195,0.000008693226,0.000003344949,0.00000579707,0.0008100065,0.000002245597,0.0003132595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01510146,"threshold_uncertainty_score":0.03002715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009344249636696247,"score_gpt":0.2527376713964549,"score_spread":0.2433934217597587,"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."}}