{"id":"W4285321146","doi":"10.2196/35711","title":"A Bayesian Network Concept for Pain Assessment","year":2022,"lang":"en","type":"article","venue":"JMIR Biomedical Engineering","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ege Üniversitesi; State University of New York","keywords":"Biomarker; Medicine; Chronic pain; Set (abstract data type); Consistency (knowledge bases); Cognitive psychology; Psychology; Computer science; Physical therapy; Artificial intelligence; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005624115,0.0001252323,0.0002201257,0.00006834679,0.0001208861,0.000008002649,0.00007332618,0.00004963877,0.0004589444],"category_scores_gemma":[0.0000504606,0.0001135294,0.0001060253,0.0002280821,0.00001658511,0.00001595683,0.00006112975,0.0001911196,0.000001709015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001856122,"about_ca_system_score_gemma":0.00007397617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003693697,"about_ca_topic_score_gemma":1.15147e-7,"domain_scores_codex":[0.9989048,0.0000328081,0.0001802717,0.0002048719,0.0003254389,0.000351819],"domain_scores_gemma":[0.9994338,0.0001389882,0.00002974342,0.0001528489,0.00001313342,0.000231465],"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":[0.000811527,0.006855051,0.005314006,0.002099489,0.003436829,0.002982685,0.001954565,0.05029552,0.04032067,0.05622648,0.3207381,0.5089651],"study_design_scores_gemma":[0.003336721,0.001754026,0.001414625,0.00007922715,0.00006340862,0.0000549577,0.0001086697,0.5356013,0.00006340336,0.0002788813,0.457025,0.0002198697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003126653,0.0002278628,0.9924079,0.00190217,0.0006242639,0.001228782,0.00004467235,0.0002496464,0.0001881134],"genre_scores_gemma":[0.9395642,0.000002953141,0.05610495,0.001063929,0.000606067,0.001825742,0.0003166183,0.00004670346,0.0004688741],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9364375,"threshold_uncertainty_score":0.502512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007568973864660433,"score_gpt":0.2777846597843808,"score_spread":0.2702156859197203,"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."}}