{"id":"W4409232946","doi":"10.1002/pst.70014","title":"Chauhan Weighted Trajectory Analysis of Combined Efficacy and Safety Outcomes for Risk–Benefit Analysis","year":2025,"lang":"en","type":"article","venue":"Pharmaceutical Statistics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Sample size determination; Medicine; Clinical trial; Confidence interval; Statistics; Clinical endpoint; Computer science; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005719788,0.0002260783,0.002008489,0.001236217,0.0002127169,0.00004564593,0.0002156863,0.0001231106,0.0004939869],"category_scores_gemma":[0.003332016,0.0002632327,0.0003133659,0.001462181,0.0001517063,0.00008912813,0.00005431445,0.0001736435,0.00002755112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002244467,"about_ca_system_score_gemma":0.00006132455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004261793,"about_ca_topic_score_gemma":0.0003238362,"domain_scores_codex":[0.9952908,0.0002217459,0.003443084,0.0005626049,0.0001012379,0.0003804962],"domain_scores_gemma":[0.9905186,0.007419073,0.001304531,0.0003946644,0.0001402929,0.0002228229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001909986,0.0002796563,0.5452353,0.0003597543,0.01329632,3.660423e-7,0.000356318,0.001196908,0.000002089869,0.4363465,0.001401791,0.001334067],"study_design_scores_gemma":[0.00227405,0.0000516514,0.5956953,0.00001001921,0.004531172,5.158905e-8,0.00006391159,0.3753314,0.000006783363,0.01384822,0.007961723,0.0002256731],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1667353,0.001445864,0.8003817,0.005567844,0.0003683154,0.001186087,0.0235067,0.00005382626,0.0007543723],"genre_scores_gemma":[0.9629881,0.000672457,0.03120402,0.003623157,0.00004549268,0.00009945778,0.0007187745,0.00002673408,0.0006217753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7962528,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2361050553491064,"score_gpt":0.4808698903269627,"score_spread":0.2447648349778563,"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."}}