{"id":"W6907129349","doi":"10.21227/8tq1-wy17","title":"Simulated Boiler Fault Data","year":2019,"lang":"en","type":"dataset","venue":"IEEE DataPort","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Boiler (water heating); MATLAB; Fault (geology); Time series; Training set; Test data","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":[0.0008484666,0.001336627,0.0006093703,0.00132093,0.0003011597,0.000523883,0.001312549,0.001323229,0.009616775],"category_scores_gemma":[0.002882879,0.0003275583,0.0008152906,0.001344093,0.0003729246,0.0004706402,0.0005350064,0.00102448,0.008634062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100227,"about_ca_system_score_gemma":0.0008185051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01073683,"about_ca_topic_score_gemma":0.01581427,"domain_scores_codex":[0.9993599,0.0001068914,0.00005106547,0.0001605809,0.0002407459,0.00008073451],"domain_scores_gemma":[0.9986284,0.0003153228,0.0000732004,0.0003419384,0.0005814698,0.00005980679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001023853,0.000922211,0.01770107,0.001011279,0.0002061933,0.0005282924,0.0001134955,0.3712968,0.004364891,0.002144684,0.5387016,0.06198572],"study_design_scores_gemma":[0.0007834171,0.001068802,0.04624614,0.0003230369,0.000158544,0.0008650112,0.0003430083,0.5436656,0.03312077,0.006604638,0.3666258,0.0001951292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1155922,0.0003269276,0.01551753,0.0005518221,0.000478875,0.0003813814,0.8463929,0.008782696,0.01197564],"genre_scores_gemma":[0.155415,0.0001440397,0.008804142,0.0001143511,0.000025882,0.0004522584,0.8281453,0.0002567942,0.006642072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01073683,"threshold_uncertainty_score":0.03217125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1452184770523037,"score_gpt":0.3803540089786478,"score_spread":0.2351355319263441,"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."}}