{"id":"W4384499861","doi":"10.22541/au.168963248.87978327/v1","title":"Matching Study Design to Prescribing Intention: The Prevalent New-User Design for Studying Abuse-Deterrent Formulations of Opioids","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Opioid Use Disorder Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Hamilton Health Sciences Foundation","keywords":"Propensity score matching; Medicine; Confounding; Opioid; Postmarketing surveillance; Medical prescription; Prescription drug; Modalities; Pharmacy; Family medicine; Pharmacology; Internal medicine; Adverse effect","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1135246,0.001215378,0.002484758,0.003009642,0.002438696,0.001784951,0.002853637,0.003902209,0.007554077],"category_scores_gemma":[0.1730206,0.0008076817,0.004642221,0.002304022,0.001998103,0.002221322,0.002256082,0.001822238,0.001078109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274749,"about_ca_system_score_gemma":0.002088377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008656362,"about_ca_topic_score_gemma":0.001085481,"domain_scores_codex":[0.8136256,0.1482318,0.01725083,0.0097012,0.009098445,0.002092041],"domain_scores_gemma":[0.92175,0.04053011,0.01208055,0.02005645,0.00416402,0.001418876],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.05031191,0.005481773,0.7629347,0.005991078,0.01259733,0.001414191,0.003883476,0.002565892,0.005584898,0.02675414,0.009001749,0.1134788],"study_design_scores_gemma":[0.0237852,0.1042847,0.6247752,0.003150123,0.01965371,0.003117698,0.003650183,0.0703624,0.01573885,0.06762185,0.06326177,0.0005983686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6448606,0.005652667,0.2451206,0.00261284,0.006229476,0.08269496,0.002760544,0.0005500301,0.009518254],"genre_scores_gemma":[0.8428414,0.0004296189,0.08939007,0.002572806,0.0006710453,0.0612113,0.0006001319,0.00007537296,0.002208246],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8864754,"threshold_uncertainty_score":0.6003828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.18926356444338,"score_gpt":0.370380686276139,"score_spread":0.181117121832759,"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."}}