{"id":"W4409377343","doi":"10.1016/b978-0-44-333997-4.00013-7","title":"Methodological exploration: CoCoSo integrated Disc q-Rung Orthopair Fuzzy Sets for multi-criteria decision-making in genomic data analysis for personalized medicine","year":2025,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy logic; Computer science; Data mining; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004230242,0.0007367209,0.002320048,0.0008498328,0.0002584605,0.0002168081,0.002852359,0.0005204399,0.00003274979],"category_scores_gemma":[0.001177924,0.0005460826,0.0006255896,0.000224863,0.0001954811,0.000296957,0.0009596813,0.0004228508,0.00000728702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002444137,"about_ca_system_score_gemma":0.0003597003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007392154,"about_ca_topic_score_gemma":0.0005027827,"domain_scores_codex":[0.9950101,0.0004181371,0.001581298,0.001971633,0.0004699523,0.0005488152],"domain_scores_gemma":[0.9930061,0.003621592,0.0006904747,0.002148703,0.0003856722,0.0001474855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002774411,0.00002328139,0.00002000558,0.0001586547,0.0008119293,0.00003646388,0.0007139868,0.00004396753,0.00003769005,0.05979219,0.0006650486,0.9374194],"study_design_scores_gemma":[0.005488316,0.0003858297,0.0002094151,0.00289335,0.001868495,0.00002219406,0.0002527048,0.1715473,0.000001580194,0.1759004,0.6399618,0.001468689],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000009772944,0.00405828,0.8738082,0.0005573053,0.001072541,0.003545372,0.0005266021,0.0001736518,0.1162482],"genre_scores_gemma":[0.004204298,0.0001799546,0.6155296,0.001285302,0.0006036762,0.001405796,0.001394847,0.00008413118,0.3753124],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9359506,"threshold_uncertainty_score":0.9996991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2279723276054306,"score_gpt":0.4019115303475866,"score_spread":0.173939202742156,"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."}}