{"id":"W4312940267","doi":"10.2139/ssrn.4228297","title":"A Sample Size Calculation for Training and Certifying Targeting Policies","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Sample (material); Sample size determination; Certification; Computer science; Training (meteorology); Mathematical optimization; Mathematics; Statistics; Economics","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":[0.05916638,0.0008373476,0.001783789,0.003406005,0.00108957,0.001077454,0.001507343,0.00289756,0.02033829],"category_scores_gemma":[0.2774194,0.0008647882,0.002446783,0.001676989,0.001093342,0.001253047,0.001718606,0.001896066,0.003117743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00128605,"about_ca_system_score_gemma":0.001758942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001548548,"about_ca_topic_score_gemma":0.001285974,"domain_scores_codex":[0.9470469,0.03283922,0.00504056,0.00378665,0.009958494,0.001328147],"domain_scores_gemma":[0.8136675,0.1545151,0.004353059,0.0108299,0.01537575,0.001258759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0319521,0.002938935,0.09537841,0.00244713,0.002658819,0.0005839908,0.002307289,0.00756619,0.009007818,0.03562406,0.07338989,0.7361454],"study_design_scores_gemma":[0.028538,0.04874218,0.3542242,0.003911194,0.00916892,0.003778407,0.002694916,0.1635352,0.04787778,0.06216785,0.2748419,0.0005195218],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2194523,0.002685339,0.595244,0.003164025,0.003646598,0.1123,0.009390042,0.001717312,0.05240041],"genre_scores_gemma":[0.5224183,0.0004110203,0.3710172,0.00196275,0.0003038218,0.08712443,0.004157089,0.0001714736,0.01243385],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05916638,"threshold_uncertainty_score":0.3129055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926852349657004,"score_gpt":0.2607129316215195,"score_spread":0.2314444081249495,"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."}}