{"id":"W3170038806","doi":"10.1007/s11432-020-3001-7","title":"New health-state assessment model based on belief rule base with interpretability","year":2021,"lang":"en","type":"article","venue":"Science China Information Sciences","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Interpretability; Computer science; Reliability (semiconductor); Machine learning; Artificial intelligence; Constraint (computer-aided design); Process (computing); Knowledge base; Expert system; State (computer science); Data mining; Engineering; Algorithm","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":[0.002476968,0.001213597,0.001287765,0.00218163,0.0006494307,0.00289234,0.002232663,0.001197584,0.002576131],"category_scores_gemma":[0.007004146,0.0004927902,0.001419556,0.001217236,0.0006751074,0.00381676,0.001229771,0.001511577,0.0003647137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001588467,"about_ca_system_score_gemma":0.00205013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01667956,"about_ca_topic_score_gemma":0.0110939,"domain_scores_codex":[0.9974064,0.0005350109,0.0002931903,0.0007177169,0.0008901874,0.0001574295],"domain_scores_gemma":[0.9971095,0.001562361,0.0002009105,0.0001370404,0.0008885858,0.0001015953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000370063,0.0003180809,0.007284406,0.0003285604,0.0004479634,0.0006171038,0.0004251131,0.7978299,0.002751271,0.04837959,0.00337408,0.137874],"study_design_scores_gemma":[0.00001910867,0.00002647063,0.000388314,0.00001652438,0.00008600171,0.00004295784,0.00001797371,0.9846765,0.0003362072,0.01398862,0.0003855954,0.00001559863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0163302,0.0003427682,0.9781535,0.0003701262,0.00006827756,0.0001048295,0.000322314,0.0006708598,0.003637194],"genre_scores_gemma":[0.7834802,0.0004395908,0.2111359,0.0002432051,0.00008911098,0.0003826037,0.0009341215,0.00006040371,0.003234971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01667956,"threshold_uncertainty_score":0.03316492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04434470779354568,"score_gpt":0.3944301441682606,"score_spread":0.3500854363747149,"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."}}