{"id":"W2228805694","doi":"10.5281/zenodo.1059576","title":"Faults Forecasting System","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Probabilistic forecasting; Computer science; Data mining; Curse of dimensionality; Fault detection and isolation; Process (computing); Bayesian probability; Fault (geology); Machine learning; Artificial intelligence; Probabilistic logic","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":[0.0005687567,0.001009785,0.001145417,0.00171568,0.0006427575,0.0013336,0.001185603,0.0008664457,0.007446074],"category_scores_gemma":[0.002000174,0.0003147388,0.0005507384,0.001423825,0.0001650028,0.001603665,0.0006883004,0.000716442,0.003823314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006825962,"about_ca_system_score_gemma":0.0008755921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007466585,"about_ca_topic_score_gemma":0.002853198,"domain_scores_codex":[0.9995796,0.00003848789,0.00003859349,0.0001711429,0.0001307314,0.00004147433],"domain_scores_gemma":[0.9991404,0.0001728996,0.00008168396,0.0001615426,0.0004015001,0.00004198655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007162151,0.0001793251,0.01764129,0.0003445681,0.0001372006,0.0003604473,0.0001635027,0.3544853,0.01137109,0.008953238,0.05473747,0.5509102],"study_design_scores_gemma":[0.00002853117,0.00006896498,0.003195723,0.0000259541,0.00005971655,0.0001162751,0.00004157333,0.9689498,0.005301288,0.005533271,0.01664492,0.00003402988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07232211,0.001037851,0.8432417,0.001171808,0.0008825561,0.0003583573,0.01408097,0.04494373,0.02196098],"genre_scores_gemma":[0.8587585,0.001087852,0.1048389,0.0002909506,0.0004736772,0.0003464547,0.01879631,0.0005287865,0.01487863],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007466585,"threshold_uncertainty_score":0.02490962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382611182708154,"score_gpt":0.2052649467411276,"score_spread":0.181438834914046,"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."}}