{"id":"W2008486416","doi":"10.1016/j.ress.2006.10.018","title":"Health state evaluation of an item: A general framework and graphical representation","year":2007,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"","keywords":"Covariate; Representation (politics); Residual; State (computer science); Computer science; Decision model; Data mining; Statistics; Reliability engineering; Mathematics; Algorithm; Machine learning; Engineering","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":[0.001825108,0.0009191445,0.0007066816,0.002664602,0.0004254684,0.002522474,0.001287121,0.001104328,0.009850699],"category_scores_gemma":[0.004818651,0.0003222497,0.001164893,0.001429492,0.001117566,0.002783482,0.0008959131,0.0006033729,0.001386244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005826851,"about_ca_system_score_gemma":0.0006775658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003623406,"about_ca_topic_score_gemma":0.002341725,"domain_scores_codex":[0.9989975,0.0003064226,0.0001192998,0.0002718723,0.0002138389,0.00009095471],"domain_scores_gemma":[0.9978015,0.001214231,0.0002027571,0.0002514359,0.000450488,0.00007956061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001015841,0.0003627745,0.01953593,0.001359029,0.0003871467,0.0010553,0.00172867,0.127795,0.03798459,0.4072548,0.01525438,0.3862667],"study_design_scores_gemma":[0.00008063657,0.000545739,0.009876785,0.0002662097,0.0003886746,0.001016517,0.0003025427,0.6400914,0.02268349,0.2952202,0.02934209,0.0001857129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01142974,0.000231154,0.9792206,0.0002355803,0.00003476347,0.0002097278,0.00132107,0.002059101,0.005258249],"genre_scores_gemma":[0.4098497,0.0004942276,0.5769333,0.0001562233,0.0001018398,0.0007030824,0.002151533,0.0003412997,0.009268921],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009850699,"threshold_uncertainty_score":0.03295392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00898866214553608,"score_gpt":0.2625086924261163,"score_spread":0.2535200302805802,"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."}}