{"id":"W4396902724","doi":"10.2196/53119","title":"Automated Pain Spots Recognition Algorithm Provided by a Web Service–Based Platform: Instrument Validation Study","year":2024,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Artificial intelligence; Data mining; Pattern recognition (psychology)","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":[0.00438259,0.0007615765,0.0006077688,0.001187514,0.0002888776,0.0006822688,0.0007307067,0.0007609762,0.002927923],"category_scores_gemma":[0.01078704,0.0002528269,0.0007370014,0.000563969,0.000444713,0.0006708765,0.0008624372,0.000444864,0.001015262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003592267,"about_ca_system_score_gemma":0.0006417282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188353,"about_ca_topic_score_gemma":0.0008189494,"domain_scores_codex":[0.9975014,0.001042764,0.0002311044,0.0003178128,0.0007313981,0.0001754016],"domain_scores_gemma":[0.9943476,0.002216695,0.0003752787,0.0004193856,0.002447044,0.0001939135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009364239,0.01095262,0.207169,0.002250036,0.0008452062,0.0009630041,0.00263496,0.01908498,0.1052979,0.001568343,0.006934063,0.6329356],"study_design_scores_gemma":[0.00179554,0.04210512,0.4729676,0.0005741463,0.00121298,0.00296258,0.002492561,0.3863743,0.07291032,0.001126312,0.0151687,0.0003099119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363436,0.0002609653,0.0576133,0.00008331538,0.00008851402,0.002471334,0.0004876863,0.0008370423,0.001814219],"genre_scores_gemma":[0.9209817,0.0001953932,0.0735537,0.0001131965,0.00004202742,0.002502786,0.001036212,0.00008534535,0.00148963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00438259,"threshold_uncertainty_score":0.02317768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04034035822241361,"score_gpt":0.3628634301024412,"score_spread":0.3225230718800276,"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."}}