{"id":"W4407715623","doi":"10.31579/2640-1045/189","title":"Balancing Efficacy and Tolerability: Assessing Treatment Impact and Side Effects in Prescribing Decisions","year":2024,"lang":"en","type":"article","venue":"Endocrinology and Disorders","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Karachi; University of Calgary","keywords":"Tolerability; Medicine; Intensive care medicine; Side effect (computer science); Pharmacology; Adverse effect; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0414943,0.0004417617,0.001096463,0.002144279,0.0006938917,0.003075169,0.0005381292,0.001060916,0.002412171],"category_scores_gemma":[0.1561273,0.0003202424,0.001554334,0.002453952,0.001368687,0.002957274,0.001123767,0.001589945,0.0001911528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002082492,"about_ca_system_score_gemma":0.002282689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004805096,"about_ca_topic_score_gemma":0.006921489,"domain_scores_codex":[0.9629395,0.02904951,0.002818967,0.0009861185,0.00375377,0.0004521107],"domain_scores_gemma":[0.7458158,0.2164693,0.02944993,0.002647724,0.003879701,0.001737667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001066194,0.0004966955,0.9094031,0.0004081507,0.00100922,0.0001805355,0.0008446041,0.01115336,0.000215311,0.003420997,0.0004853936,0.07131651],"study_design_scores_gemma":[0.000112753,0.002103463,0.9093555,0.0006354281,0.0008517291,0.0005754224,0.002425289,0.0610563,0.0006591169,0.01968635,0.002405339,0.0001333003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9536392,0.005068044,0.02183328,0.005704635,0.00007180872,0.0005069262,0.0008095232,0.00002600915,0.0123405],"genre_scores_gemma":[0.9936407,0.0005816522,0.00518508,0.000215324,0.00006224362,0.00006228714,0.0001177971,0.000003915077,0.0001311124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0414943,"threshold_uncertainty_score":0.2194454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1645315865005036,"score_gpt":0.4321682185618463,"score_spread":0.2676366320613427,"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."}}