{"id":"W772970414","doi":"","title":"MEMPHIS: SAVING DOWNTOWN WITH RAIL","year":2004,"lang":"en","type":"article","venue":"Mass transit","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Memphis; Antique; Public transport; Service (business); Mile; Transport engineering; Quarter (Canadian coin); Engineering; Business; Geography; Archaeology; Marketing","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":[0.0002021657,0.0004902654,0.00006166683,0.0004335753,0.002128106,0.002084673,0.000417997,0.0008791906,0.1867161],"category_scores_gemma":[0.0006674124,0.0001284334,0.0001100726,0.0004983601,0.0003623131,0.001734489,0.001708336,0.0008950944,0.01588656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002290093,"about_ca_system_score_gemma":0.002833849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07730918,"about_ca_topic_score_gemma":0.1880262,"domain_scores_codex":[0.9998897,0.0000120763,0.000003290107,0.000017648,0.00002890685,0.00004827262],"domain_scores_gemma":[0.9998079,0.0000104096,0.00001378488,0.00001145618,0.00004138951,0.0001150462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000912829,0.00004154693,0.004196977,0.0001484805,0.00000521269,0.0006925961,0.001478018,0.00009641248,0.0014086,0.00839317,0.8411349,0.1423129],"study_design_scores_gemma":[0.000003490316,0.00001694269,0.00442388,0.0000691187,0.00000171564,0.0001152988,0.001969402,0.00004379184,0.0002087477,0.0002274257,0.9929157,0.000004475709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07904062,0.006599361,0.001268489,0.03988472,0.005498128,0.0001941194,0.00273148,0.001174864,0.8636083],"genre_scores_gemma":[0.06554668,0.00316704,0.001181088,0.003661964,0.0003362058,0.00005530136,0.00115908,0.000156372,0.9247363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1867161,"threshold_uncertainty_score":0.6246275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034120613628506,"score_gpt":0.1715243243727236,"score_spread":0.1611831182364385,"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."}}