{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008286271,0.001555594,0.001367035,0.004450133,0.0008366475,0.003259633,0.00264905,0.003006035,0.007341051],"category_scores_gemma":[0.02409741,0.0008954236,0.001610333,0.003297158,0.002542669,0.007146859,0.002125307,0.003692881,0.001149416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003183278,"about_ca_system_score_gemma":0.001892138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007710077,"about_ca_topic_score_gemma":0.005698794,"domain_scores_codex":[0.9951009,0.002669495,0.0002615393,0.0009720025,0.0008365483,0.0001595483],"domain_scores_gemma":[0.9900612,0.007576499,0.0007509626,0.0003557575,0.00100484,0.0002507678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001175025,0.00008135135,0.002403159,0.0005083885,0.0002403261,0.0001931031,0.0004153408,0.2102474,0.0005418741,0.6520379,0.007445067,0.1257687],"study_design_scores_gemma":[0.00003154995,0.00004608149,0.0005998487,0.0001652506,0.00006187108,0.0001163613,0.0000751877,0.4849799,0.0001800948,0.5030766,0.01061766,0.00004974516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002322435,0.001354682,0.9893689,0.001629364,0.0001302213,0.0001088604,0.0003557304,0.00010648,0.004623415],"genre_scores_gemma":[0.2595214,0.006518958,0.7168158,0.001271853,0.001316826,0.001271562,0.001501152,0.0001369601,0.01164563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008286271,"threshold_uncertainty_score":0.04382247,"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."}}