{"id":"W4413282686","doi":"10.3390/curroncol32080465","title":"Exploring Determinants of Compassionate Cancer Care in Older Adults Using Fuzzy Cognitive Mapping","year":2025,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et Services Sociaux de Chaudière-Appalache; Santé Montérégie; Hôpital Charles-Le Moyne; Université de Sherbrooke","funders":"","keywords":"Medicine; Cognition; Cancer; Gerontology; Fuzzy cognitive map; Fuzzy logic; Artificial intelligence; Psychiatry; Computer science; Fuzzy set; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003454382,0.0003869425,0.0002197249,0.00240591,0.001113972,0.002276619,0.0005387615,0.0003905219,0.0019403],"category_scores_gemma":[0.02001252,0.0002015677,0.0007083936,0.001933238,0.001216334,0.001863906,0.002014222,0.0004747545,0.00006878727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002122779,"about_ca_system_score_gemma":0.001934158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347579,"about_ca_topic_score_gemma":0.01495517,"domain_scores_codex":[0.9984041,0.001059059,0.00006232361,0.0001547934,0.0002230328,0.00009665407],"domain_scores_gemma":[0.9897218,0.008428217,0.0007774851,0.0003128384,0.000567639,0.0001919989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005444833,0.0005655112,0.3592259,0.001053161,0.0003601879,0.0009577497,0.1671364,0.06934855,0.004504894,0.08260681,0.001472803,0.3122235],"study_design_scores_gemma":[0.00009458989,0.0005185852,0.1755562,0.0004642651,0.0002429344,0.0005743674,0.168232,0.4962681,0.003215384,0.1477298,0.0069506,0.0001533121],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472354,0.00008788711,0.04540891,0.000445453,0.000006760007,0.0001248829,0.00007469588,0.00003011575,0.006585806],"genre_scores_gemma":[0.9860104,0.00003938168,0.01373065,0.00001330449,0.000001004042,0.00005930734,0.000024457,0.000002558233,0.000118875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01347579,"threshold_uncertainty_score":0.02679473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2406036070859292,"score_gpt":0.4303114642710664,"score_spread":0.1897078571851372,"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."}}