{"id":"W2349968489","doi":"","title":"Design and Implementation of the Common Fault Diagnosis Expert System for Weapon Equipments","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Fault (geology); Inference; Expert system; Inference engine; Representation (politics); Object (grammar); Knowledge representation and reasoning; Database; Reliability engineering; Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001128496,0.0001194364,0.0001324372,0.00005359886,0.0002812088,0.00006292725,0.0006609568,0.00003708669,6.49104e-7],"category_scores_gemma":[2.427295e-7,0.00009981666,0.00005840569,0.000292302,0.00002913044,0.0001584213,0.0001423867,0.00004749688,0.000001553293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005740395,"about_ca_system_score_gemma":0.00002884868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001077498,"about_ca_topic_score_gemma":9.912219e-7,"domain_scores_codex":[0.9990754,0.00003190134,0.0003066202,0.0003128293,0.0001197873,0.0001534549],"domain_scores_gemma":[0.9991459,0.0001370532,0.0001856696,0.0003784336,0.000110376,0.00004259604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002441727,0.0001042674,0.0000709238,0.00002474568,0.00001410014,7.35874e-8,0.0003797307,0.0009267796,0.01416668,0.219612,0.002139082,0.7625592],"study_design_scores_gemma":[0.001703209,0.0003778975,0.007753117,0.0001446298,0.00004764384,0.00005227881,0.0001849275,0.09792653,0.4270836,0.1671195,0.2968463,0.0007604416],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009771326,0.0001088925,0.9941186,0.0022583,0.00001232593,0.002329916,0.00001220784,0.0001465543,0.00003612561],"genre_scores_gemma":[0.2969577,0.00001958336,0.7000389,0.0004811544,0.00003312675,0.002446179,0.00001008177,0.000006091706,0.000007223769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7617987,"threshold_uncertainty_score":0.4070405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02056940719270922,"score_gpt":0.3266837721141913,"score_spread":0.3061143649214821,"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."}}