{"id":"W630249580","doi":"","title":"7 MOST INNOVATIVE MOTORCOACH OPERATORS","year":2003,"lang":"en","type":"article","venue":"Metrologia","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Memphis; Brewster; Gray (unit); Geography; Archaeology; Recession; Business; Management; Economics; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002707137,0.0001301031,0.0001715042,0.0002051429,0.0001104143,0.0001016277,0.0001515502,0.00006200856,0.0005759557],"category_scores_gemma":[0.0001058101,0.0001112287,0.00002857987,0.0008032586,0.0000553748,0.0005010513,0.00002428959,0.000101089,0.0006310602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002045432,"about_ca_system_score_gemma":0.00001743009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003161917,"about_ca_topic_score_gemma":0.00004589889,"domain_scores_codex":[0.9992919,0.000005034193,0.0001870139,0.0001804435,0.00006106625,0.0002745734],"domain_scores_gemma":[0.9996653,0.00001256326,0.00007457739,0.0001523039,0.00008794906,0.000007309076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001355113,0.0000487289,0.6648457,0.00001829764,0.0000417001,0.00000564508,0.00003172468,0.00007708831,0.0007728348,0.3234306,0.01003331,0.0006808735],"study_design_scores_gemma":[0.0007576782,0.00001826522,0.2244543,0.000004584362,0.00002891067,0.000001523453,0.0003085273,0.0002276699,0.0009713905,0.003150356,0.7696915,0.0003852581],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8310288,0.00004281645,0.0002614328,0.0002121239,0.000372718,0.00008703178,0.000002172937,0.0001104774,0.1678824],"genre_scores_gemma":[0.9939059,0.000001990062,0.0002080641,0.005053055,0.0002689599,0.00001575029,0.00001592225,0.00001461152,0.0005157465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7596582,"threshold_uncertainty_score":0.8111213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897202240438566,"score_gpt":0.2123564994243943,"score_spread":0.1933844770200087,"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."}}