{"id":"W4416368583","doi":"10.2196/80607","title":"Leveraging Large Language Models for Early Detection of Anomaly Work Injury Cases: Data-Driven Approach to Rehabilitation Efficiency","year":2025,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Mental Health via Writing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Innovation and Technology Fund","keywords":"Generalizability theory; Anomaly detection; Workflow; Rehabilitation; Limiting; Robustness (evolution)","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":[0.005362853,0.001465799,0.001199045,0.003559545,0.0005047813,0.002188169,0.001842842,0.001138037,0.001254384],"category_scores_gemma":[0.020896,0.0005625841,0.001841346,0.001362809,0.0004665484,0.002303487,0.001643419,0.002005669,0.001005268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713309,"about_ca_system_score_gemma":0.00241797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01195589,"about_ca_topic_score_gemma":0.01744512,"domain_scores_codex":[0.9975474,0.001012213,0.0003136957,0.0006100912,0.0003542425,0.0001622818],"domain_scores_gemma":[0.988852,0.007729819,0.0008420933,0.0008453404,0.001432694,0.0002980926],"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":[0.000837367,0.001101254,0.1142974,0.0004888927,0.0005307134,0.0006813467,0.0006444706,0.3437091,0.008203709,0.002451145,0.01206595,0.5149886],"study_design_scores_gemma":[0.00001045819,0.00003352681,0.001818734,0.00002000685,0.00002568154,0.00004012385,0.00007629447,0.9944094,0.001214471,0.001815481,0.0005218666,0.00001405573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2575863,0.001074192,0.7186583,0.003561703,0.0001774284,0.0007913983,0.005021461,0.01093239,0.00219698],"genre_scores_gemma":[0.7631197,0.000190958,0.2302407,0.0004640397,0.000101609,0.0004279237,0.004231638,0.0002339684,0.0009893756],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01195589,"threshold_uncertainty_score":0.0283618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625017969231022,"score_gpt":0.3741924941743044,"score_spread":0.3379423144819942,"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."}}