{"id":"W4309507467","doi":"10.2196/38677","title":"Extraction and Quantification of Words Representing Degrees of Diseases: Combining the Fuzzy C-Means Method and Gaussian Membership","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical diagnosis; Set (abstract data type); Computer science; Degree (music); Data mining; Fuzzy logic; Data set; Pattern recognition (psychology); Artificial intelligence; Gaussian; Natural language processing; Medicine; Radiology","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":[0.002044452,0.001007494,0.0007187421,0.008991274,0.0007283891,0.001586587,0.0007681948,0.001055925,0.0008810473],"category_scores_gemma":[0.008215037,0.0002533085,0.001306474,0.004485216,0.0008605279,0.001420317,0.001130182,0.0009098744,0.0004871942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143758,"about_ca_system_score_gemma":0.001842548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007257121,"about_ca_topic_score_gemma":0.005028781,"domain_scores_codex":[0.9975935,0.0003254457,0.0004034212,0.0005042974,0.001003872,0.0001695975],"domain_scores_gemma":[0.9963799,0.001564809,0.0004837466,0.0002086223,0.001249037,0.0001138676],"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":[0.0004251576,0.0001824529,0.01303186,0.0005677621,0.0001657423,0.0003374378,0.00112456,0.0281642,0.03684679,0.00588981,0.002994339,0.9102699],"study_design_scores_gemma":[0.00007923527,0.0003793561,0.04035109,0.0002476911,0.0003331695,0.001065636,0.001514008,0.8522257,0.06539597,0.02312573,0.01490339,0.00037905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07899848,0.0008302777,0.9164095,0.0002538837,0.00009129184,0.000257503,0.0006014692,0.001005273,0.001552311],"genre_scores_gemma":[0.2568535,0.0003969242,0.7405564,0.00007926345,0.00006709601,0.0002207456,0.0009377704,0.00006387922,0.0008243636],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008991274,"threshold_uncertainty_score":0.01442981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0842106334619199,"score_gpt":0.3981552499283188,"score_spread":0.3139446164663989,"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."}}