{"id":"W4389125230","doi":"10.2139/ssrn.4624041","title":"What We RANDomly Did Not Learn: Opioid Elasticities and Underlying Mechanisms","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Economics; Econometrics; Opioid; Psychology; Medicine; 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":[0.001323846,0.0001604719,0.0005025074,0.0002639634,0.0006075774,0.001768606,0.0007085402,0.001175511,0.006519237],"category_scores_gemma":[0.01105884,0.0002805331,0.0003113695,0.0002002671,0.002194384,0.004787132,0.000952813,0.001901605,0.0006106319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006094496,"about_ca_system_score_gemma":0.0007154182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001214145,"about_ca_topic_score_gemma":0.001002923,"domain_scores_codex":[0.9995508,0.000131235,0.00001910275,0.0001207411,0.00008354624,0.00009467174],"domain_scores_gemma":[0.9968978,0.001676335,0.0003386968,0.0005145087,0.0002715442,0.0003011022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004677923,0.0002414913,0.02421925,0.0002351431,0.0002094354,0.0003681225,0.0007592961,0.01503576,0.008308511,0.883179,0.006162308,0.060814],"study_design_scores_gemma":[0.00003794346,0.00008419088,0.007346715,0.00003905677,0.00003355697,0.0001714177,0.0004052089,0.03237902,0.001814815,0.9549963,0.002653837,0.00003787256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8454827,0.001457156,0.06743518,0.04573568,0.0007633055,0.00006374926,0.0004154693,0.0001788518,0.03846794],"genre_scores_gemma":[0.9930794,0.0002997341,0.001916003,0.001305045,0.0001073727,0.00001573019,0.00004468515,0.00001532722,0.003216751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006519237,"threshold_uncertainty_score":0.02180898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437398966126612,"score_gpt":0.2326769723042134,"score_spread":0.2183029826429473,"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."}}