{"id":"W4247633350","doi":"10.15863/tas.2016.05.37.3","title":"SYSTEM OF MODELS FOR THE COMPREHENSIVE ASSESSMENT OF THE CONDITION OF THE CAR SERVICE ENTERPRISES","year":2016,"lang":"en","type":"article","venue":"Theoretical & Applied Science","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Service (business); Business; Transport engineering; Computer science; Process management; Engineering; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001638596,0.0008537527,0.0009314101,0.001627702,0.0009447096,0.002118217,0.001906064,0.001656441,0.007289709],"category_scores_gemma":[0.00366452,0.0004044014,0.001198049,0.0008484081,0.0008834949,0.001353511,0.00180386,0.001155446,0.00105156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001953451,"about_ca_system_score_gemma":0.002364278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01737718,"about_ca_topic_score_gemma":0.0113174,"domain_scores_codex":[0.999158,0.0003613639,0.00004313387,0.0001610812,0.0001914719,0.00008484386],"domain_scores_gemma":[0.9990896,0.0003527126,0.0001013548,0.00007457572,0.0003381939,0.00004357187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004489693,0.00005742043,0.002125912,0.00004704225,0.00006572658,0.00008990564,0.0001476171,0.8998749,0.0008403628,0.08517798,0.001409201,0.01011901],"study_design_scores_gemma":[0.00001104267,0.00002170255,0.0004248141,0.00001335687,0.00001909291,0.00002183598,0.00003570524,0.9758429,0.0001260819,0.02206894,0.001401093,0.00001343838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03366135,0.0003287033,0.9462867,0.0005753835,0.00008129649,0.0001399353,0.0007943728,0.0005997822,0.01753249],"genre_scores_gemma":[0.8567294,0.0005521275,0.1254829,0.0001196275,0.0001017996,0.001027676,0.001095727,0.0001184156,0.01477234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01737718,"threshold_uncertainty_score":0.03455204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007868090809081726,"score_gpt":0.2180121615896488,"score_spread":0.2101440707805671,"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."}}