{"id":"W622169396","doi":"","title":"PUBLIC TRANSPORTATION OFFICIALS HOPE TO BOOST IMAGE, FUNDING","year":2000,"lang":"en","type":"article","venue":"ENR","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public administration; Public transport; Political science; Administration (probate law); Public policy; Plan (archaeology); Bolster; Business; Engineering; Law; Geography","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":[0.004110431,0.0005866812,0.0004011191,0.001337804,0.003517423,0.006703939,0.0008090764,0.004734328,0.1065195],"category_scores_gemma":[0.01840897,0.0002738561,0.0004596896,0.001310332,0.0009781492,0.002968009,0.002505003,0.00433388,0.04949319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003420736,"about_ca_system_score_gemma":0.015983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01660706,"about_ca_topic_score_gemma":0.02952593,"domain_scores_codex":[0.9966164,0.0006621762,0.0001059384,0.000219495,0.001512497,0.0008834748],"domain_scores_gemma":[0.985268,0.0009361499,0.0007130266,0.0005267903,0.006180198,0.006375905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004025203,0.0001786109,0.001987539,0.00005121331,0.000004947684,0.00007525293,0.0003152599,0.00008464618,0.0002369991,0.009513007,0.9269539,0.06055835],"study_design_scores_gemma":[0.00003281021,0.00006154913,0.003311057,0.00004466897,0.00001139035,0.00007341359,0.0009172512,0.0001945308,0.0002017472,0.001800251,0.9933428,0.000008621734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.007233526,0.001503172,0.002652242,0.7075487,0.01669771,0.0002366363,0.000984577,0.001425308,0.2617181],"genre_scores_gemma":[0.05925144,0.002016829,0.004626758,0.09525856,0.004985163,0.0002667891,0.002168776,0.0005259186,0.8308999],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1065195,"threshold_uncertainty_score":0.3563433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05632771773067952,"score_gpt":0.3246623480197576,"score_spread":0.2683346302890781,"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."}}