{"id":"W6902071779","doi":"10.6084/m9.figshare.20006741","title":"Examining the correlation between treatment effects in clinical trials and economic modeling","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Correlation; Clinical trial; Covariance; Depression (economics); Identification (biology); Analysis of covariance; Treatment effect; Statistical model","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":[0.1398311,0.001448588,0.003708473,0.002773147,0.0008561421,0.003625538,0.002597375,0.00359893,0.009330226],"category_scores_gemma":[0.3510258,0.00159593,0.003366581,0.00458712,0.00433748,0.006340655,0.002461209,0.005411359,0.0005309163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005009966,"about_ca_system_score_gemma":0.005636227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004033842,"about_ca_topic_score_gemma":0.003169067,"domain_scores_codex":[0.8957679,0.09414489,0.002194399,0.00386796,0.003104305,0.0009205246],"domain_scores_gemma":[0.4347464,0.5403591,0.01473348,0.006723459,0.002623956,0.0008136287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004296868,0.0001340957,0.008412345,0.0005587111,0.0008648224,0.0002677963,0.0002606282,0.4785284,0.0001956484,0.4767258,0.001504937,0.03211716],"study_design_scores_gemma":[0.0002466379,0.0002410044,0.001627898,0.0001698747,0.0002670621,0.00008346543,0.00004180236,0.6215854,0.0002616669,0.3735211,0.001907979,0.00004606965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03191334,0.001774808,0.9575508,0.004027736,0.0001330985,0.0006989471,0.0004580297,0.0001790761,0.003264162],"genre_scores_gemma":[0.690969,0.002469419,0.2992085,0.001168807,0.0002017835,0.002644818,0.0004143347,0.00009618418,0.00282723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1398311,"threshold_uncertainty_score":0.7395062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6675690856680238,"score_gpt":0.5169106529655247,"score_spread":0.150658432702499,"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."}}