{"id":"W7002366430","doi":"","title":"Navigating Regulatory Waters: The Impact of Policy in the case of Adderall","year":2024,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Mental health; Drug; Health policy; Methylphenidate; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.04471314,0.0007029223,0.0009133727,0.002138037,0.02151428,0.02397516,0.004910902,0.0304867,0.005976346],"category_scores_gemma":[0.08350813,0.0008495059,0.001876142,0.002345286,0.02310039,0.01059604,0.007431165,0.02133512,0.0004791616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1069222,"about_ca_system_score_gemma":0.3604193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9024233,"about_ca_topic_score_gemma":0.9147624,"domain_scores_codex":[0.9408022,0.01624714,0.001860916,0.004294225,0.01761338,0.01918209],"domain_scores_gemma":[0.9235046,0.04159487,0.003910021,0.002573534,0.0159091,0.0125078],"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":[0.0002053476,0.0002184147,0.009707946,0.0003135487,0.0001227821,0.002582978,0.007106903,0.004919131,0.001094181,0.7245061,0.1928282,0.05639443],"study_design_scores_gemma":[0.0003162285,0.0003054516,0.01355207,0.001246138,0.0002542494,0.0007844253,0.0149139,0.006600335,0.002182389,0.2042986,0.7550047,0.0005415286],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01440773,0.002713887,0.002483006,0.9299146,0.000720775,0.0001115074,0.0001173882,0.00008519217,0.04944588],"genre_scores_gemma":[0.409867,0.003812632,0.009001411,0.5514791,0.0008162268,0.0001869941,0.0001158111,0.00009259833,0.0246282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9024233,"threshold_uncertainty_score":0.7757782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348468791267125,"score_gpt":0.2533027072051784,"score_spread":0.2398180192925072,"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."}}