{"id":"W4405694969","doi":"10.1155/atr/2344587","title":"Key Characteristics of Multimodal Public Transport Across the Entire Commuting Process: Quantitative Evidence from Shanghai","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Public transport; Key (lock); Process (computing); Transport engineering; Computer science; Regional science; Process management; Business; Engineering; Geography; Computer security","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":[0.001171859,0.0004806174,0.0003280349,0.002258076,0.0004400337,0.0007416664,0.0003647863,0.0002428681,0.002365462],"category_scores_gemma":[0.00252726,0.0002459698,0.0007688668,0.003714682,0.0005549446,0.0007373144,0.0006500541,0.0002523476,0.0002597841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311404,"about_ca_system_score_gemma":0.0007387213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1290471,"about_ca_topic_score_gemma":0.1579037,"domain_scores_codex":[0.9993882,0.0002139017,0.00005937882,0.0001154885,0.0001103669,0.0001127371],"domain_scores_gemma":[0.9965106,0.0008833052,0.001240046,0.0002616032,0.0007381164,0.0003663826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005893817,0.00004173678,0.9917125,0.00009105012,0.0001144352,0.0001575824,0.00178949,0.0008020006,0.0002764665,0.0001884905,0.0002425369,0.004524757],"study_design_scores_gemma":[0.000001863703,0.00004325192,0.9969192,0.00001228652,0.00004862581,0.00002148087,0.001784974,0.0007757163,0.00006022959,0.00003386497,0.000291439,0.000007132173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989101,0.0001462865,0.0001385018,0.00002558994,0.000001325572,0.000004648901,0.0004851363,0.000004479635,0.0002839966],"genre_scores_gemma":[0.9990539,0.0001032329,0.00007033915,0.000004369896,0.000001843818,0.000006757315,0.0005852555,0.000001899231,0.000172475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1290471,"threshold_uncertainty_score":0.2565919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739124246274659,"score_gpt":0.3590583575302327,"score_spread":0.3216671150674861,"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."}}