{"id":"W4399738823","doi":"10.1155/2024/2196799","title":"The Relationship between Built Environment Characteristics and Metro Stations Pedestrian Catchment Areas","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chengdu Medical College","keywords":"Pedestrian; Drainage basin; Catchment area; Transport engineering; Environmental science; Geography; Civil engineering; Hydrology (agriculture); Engineering; Cartography; Geotechnical engineering","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":[0.0004167157,0.0001343718,0.0002089558,0.001102529,0.0004803918,0.0009121865,0.0002598107,0.0002649164,0.002429283],"category_scores_gemma":[0.003792816,0.0001021957,0.0002640875,0.001815586,0.0003679545,0.0004175505,0.0007259439,0.0002339254,0.0001928633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004266853,"about_ca_system_score_gemma":0.0003474806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01099025,"about_ca_topic_score_gemma":0.02405075,"domain_scores_codex":[0.9996694,0.00009773448,0.00002528249,0.00005215424,0.00008807456,0.00006735005],"domain_scores_gemma":[0.9974064,0.001039258,0.0008359001,0.0001467413,0.000282432,0.0002892571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003839153,0.00003023917,0.992615,0.00001747753,0.00003915613,0.0001098279,0.0003760034,0.001239415,0.0003465647,0.0003014888,0.00004395009,0.004842594],"study_design_scores_gemma":[9.915404e-7,0.00003578418,0.9971517,0.000004643422,0.0000129354,0.00004848613,0.0008611553,0.001408726,0.00005698442,0.0001596827,0.0002545657,0.000004290329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998718,0.00004284745,0.0004270742,0.00001501486,0.000001346111,0.000007333306,0.00006585095,0.000002803135,0.0007198635],"genre_scores_gemma":[0.9997516,0.00002147544,0.0001000199,0.000001279293,0.000001538291,0.00000365803,0.00003414412,5.619077e-7,0.00008573432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01099025,"threshold_uncertainty_score":0.02185261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03557786502015259,"score_gpt":0.3258560475391968,"score_spread":0.2902781825190442,"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."}}