{"id":"W4387157509","doi":"10.1097/prs.0000000000011099","title":"Predicting Persistent Opioid Use after Hand Surgery: A Machine Learning Approach","year":2023,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership","funders":"","keywords":"Medicine; Opioid; Machine learning; Artificial intelligence; Physical medicine and rehabilitation; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0067578,0.00109979,0.0007854294,0.002545002,0.0005040063,0.001656293,0.000919082,0.001153588,0.0008920035],"category_scores_gemma":[0.01777961,0.0003203478,0.001242377,0.0009412374,0.0004582321,0.001101263,0.0008067437,0.001834274,0.0003019086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357786,"about_ca_system_score_gemma":0.001726222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007181939,"about_ca_topic_score_gemma":0.007439177,"domain_scores_codex":[0.9980378,0.0009956035,0.000170281,0.0003528124,0.0002981474,0.0001454857],"domain_scores_gemma":[0.9827943,0.01342403,0.001425354,0.0004735057,0.001514659,0.0003682597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005756243,0.001009985,0.7088844,0.0001763561,0.0008890837,0.0001515005,0.0001467673,0.142926,0.0006417268,0.0005639074,0.001877622,0.142157],"study_design_scores_gemma":[0.00007846228,0.001038886,0.07255169,0.0001679397,0.0002508706,0.0002395575,0.000176155,0.9204298,0.0009005147,0.003169338,0.000946377,0.00005051977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8923659,0.004606031,0.09238558,0.004490292,0.0002218499,0.0003764682,0.0009603749,0.0004348444,0.004158598],"genre_scores_gemma":[0.9747339,0.0006154664,0.02331651,0.0003670753,0.0001090881,0.00007499517,0.0004320948,0.0000135937,0.0003371623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007181939,"threshold_uncertainty_score":0.03573906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784286812826375,"score_gpt":0.2319155107318214,"score_spread":0.2040726426035577,"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."}}