{"id":"W2025655213","doi":"10.3111/13696998.2014.897628","title":"Medical cost savings associated with an extended-release opioid with abuse-deterrent technology in the US","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Economics","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Medicine; Oxycodone; Medicaid; Medical prescription; Pharmacy; Opioid; Propensity score matching; Substance abuse; Medicare Part D; Opioid abuse; Emergency medicine; Observational study; Prescription drug; Psychiatry; Family medicine; Internal medicine; Health care; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001910237,0.0002283417,0.0006801559,0.000280043,0.00005430713,0.00003195995,0.0005970981,0.0003800337,0.0002248764],"category_scores_gemma":[0.00104473,0.0001223056,0.00008736915,0.0002094887,0.0003560976,0.0001229966,0.00003676813,0.001223083,0.00001047622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003241349,"about_ca_system_score_gemma":0.001120992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004616647,"about_ca_topic_score_gemma":0.0007884505,"domain_scores_codex":[0.9975266,0.0001437538,0.0007516055,0.000241172,0.0009572136,0.0003796591],"domain_scores_gemma":[0.9981074,0.0002968261,0.0004821926,0.0003698565,0.0001190808,0.0006246152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005417106,0.01727638,0.5761692,0.000215277,0.002089272,0.007341451,0.008558596,0.0004076213,0.00002099173,0.005524707,0.002642431,0.374337],"study_design_scores_gemma":[0.09864658,0.04509941,0.7023571,0.007700933,0.001942597,0.02175544,0.01112107,0.05367238,0.0002831452,0.004545003,0.05132973,0.001546617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740463,0.0001976478,0.0003131891,0.02479262,0.0001522764,0.0002914784,0.000002621026,0.00002425263,0.0001796234],"genre_scores_gemma":[0.9947066,0.0008143304,0.0004412639,0.003709912,0.0002466796,0.00002033683,0.00001262379,0.000037145,0.00001112257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3727903,"threshold_uncertainty_score":0.5313757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00829051050439042,"score_gpt":0.258836376412609,"score_spread":0.2505458659082186,"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."}}