{"id":"W649405508","doi":"","title":"THE MARVEL THAT IS L.A.'S METROLINK","year":2001,"lang":"en","type":"article","venue":"Trains","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mile; Transit (satellite); Train; Transport engineering; Geography; Engineering; Public transport; Archaeology","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":[0.0004103192,0.0005744337,0.0004647749,0.0006693731,0.005188644,0.0053585,0.0006352733,0.002046019,0.1105358],"category_scores_gemma":[0.001541353,0.0004009293,0.0003612791,0.0005256472,0.0009734242,0.002633395,0.001766231,0.002880181,0.02996008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002137721,"about_ca_system_score_gemma":0.003200767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03156123,"about_ca_topic_score_gemma":0.06833247,"domain_scores_codex":[0.9995034,0.00005717107,0.00001190987,0.0001172948,0.0001767688,0.0001334009],"domain_scores_gemma":[0.9992975,0.0000394962,0.00003621041,0.00003361981,0.0002647504,0.0003284848],"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":[0.00009688831,0.00007581251,0.001638179,0.00006411908,0.000007668865,0.000190941,0.0003903274,0.0002301638,0.0003281929,0.0235994,0.8664811,0.1068971],"study_design_scores_gemma":[0.000007009463,0.00004287695,0.0009125805,0.00005372335,0.000002881455,0.0001064361,0.0004472664,0.0002233511,0.0001047436,0.001958539,0.9961303,0.00001023191],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01262744,0.008542278,0.005775569,0.1176766,0.009147063,0.00007856114,0.0009492216,0.001652656,0.8435507],"genre_scores_gemma":[0.06209747,0.002848455,0.002360204,0.005431844,0.0006513649,0.00002752163,0.000383712,0.0002524008,0.9259471],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1105358,"threshold_uncertainty_score":0.3697792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05023043466099871,"score_gpt":0.3166474635613146,"score_spread":0.2664170289003159,"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."}}