{"id":"W4307714734","doi":"","title":"MP-SIM: Maintenance Policy Simulations Tool","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002720797,0.0003518938,0.0003959619,0.0003989639,0.0004572595,0.0003425144,0.0007406877,0.0003600777,0.0006354821],"category_scores_gemma":[0.001309507,0.0004010056,0.0002504868,0.0007113873,0.00007067623,0.0001264021,0.0008082898,0.001090645,0.00006650235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004873639,"about_ca_system_score_gemma":0.0002622242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505425,"about_ca_topic_score_gemma":0.0004646027,"domain_scores_codex":[0.9958255,0.002108683,0.000653506,0.000555872,0.0004590919,0.0003973769],"domain_scores_gemma":[0.9961601,0.0008058139,0.0002622509,0.00181296,0.000827831,0.0001309876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006137624,0.0007992123,0.002160476,0.001142613,0.000674773,0.0000378172,0.01919483,0.4766356,0.01430798,0.1915101,0.04395368,0.2495215],"study_design_scores_gemma":[0.001387394,0.00000112494,0.002386844,0.001778434,0.00008004466,0.00002876689,0.0002891696,0.4088337,0.01906153,0.006630882,0.5579891,0.001533034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3265439,0.001416998,0.3845707,0.005203867,0.003858433,0.002255693,0.0009595065,0.003049809,0.2721411],"genre_scores_gemma":[0.9831751,0.0001829276,0.003127523,0.00005381201,0.0001575253,0.0001343173,0.0003899943,0.0000937313,0.01268507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6566312,"threshold_uncertainty_score":0.9998442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621372248366003,"score_gpt":0.2366329489814382,"score_spread":0.2204192264977782,"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."}}