{"id":"W7000003805","doi":"","title":"A Domain Independent Data Mining Methodology for Prognostics","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prognostics; Train; Component (thermodynamics); Aerospace; Domain (mathematical analysis); Data modeling; Data-driven; Artificial neural network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004961023,0.001085018,0.001456532,0.003730949,0.000973247,0.002315687,0.002507403,0.001320645,0.00177689],"category_scores_gemma":[0.01182291,0.000550263,0.002083054,0.004215966,0.0009771381,0.003025749,0.002226479,0.002666582,0.001368842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006630319,"about_ca_system_score_gemma":0.002502961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140965,"about_ca_topic_score_gemma":0.001310697,"domain_scores_codex":[0.9964271,0.0009682144,0.0004694077,0.000713387,0.001320511,0.0001012988],"domain_scores_gemma":[0.9953453,0.002119635,0.0003570885,0.0008091357,0.00127108,0.00009788563],"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":[0.0001416205,0.0003933138,0.005255925,0.0008550599,0.0003190871,0.0004415261,0.0003134034,0.08012262,0.008078993,0.08043039,0.01042676,0.8132212],"study_design_scores_gemma":[0.00007551117,0.0002130202,0.001614351,0.0002484336,0.0001502882,0.0009211092,0.0002259521,0.8047313,0.01221509,0.1356527,0.04387504,0.0000771556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009023246,0.0001957444,0.9975198,0.0002465887,0.0000349991,0.0001186956,0.0002389675,0.0003146539,0.0004281803],"genre_scores_gemma":[0.03363123,0.0004497421,0.9636658,0.0001812586,0.00008595003,0.0003858276,0.0009599224,0.00004135727,0.0005989511],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004961023,"threshold_uncertainty_score":0.02623671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09096594516433679,"score_gpt":0.3046706072927409,"score_spread":0.2137046621284041,"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."}}