{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002051986,0.0001145031,0.000141707,0.0001554594,0.001346432,0.0002196771,0.000122437,0.00002071297,0.0000947529],"category_scores_gemma":[0.0004557306,0.0001182069,0.00008078463,0.0002263374,0.00001659785,0.0004222377,0.0001142705,0.0006550391,8.575324e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001993434,"about_ca_system_score_gemma":0.0002060181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006184156,"about_ca_topic_score_gemma":0.0002575633,"domain_scores_codex":[0.9982496,0.00002086911,0.000231085,0.0001552272,0.0001818881,0.001161352],"domain_scores_gemma":[0.9994021,0.0002866468,0.0001873489,0.00005716883,0.00005534949,0.00001136562],"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":[0.0003368006,0.00009427113,0.1847335,0.0001274838,0.0002168207,0.000005129615,0.00294015,0.000775869,0.006680619,0.1618976,0.0006655784,0.6415262],"study_design_scores_gemma":[0.005441997,0.0002492398,0.04478972,0.00007012731,0.0007787436,0.0004916659,0.087432,0.04504544,0.00003301175,0.5572962,0.2567185,0.001653357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836976,0.001246245,0.01217494,0.001691082,0.0003105049,0.0002416088,0.000003984033,0.00007073441,0.0005632915],"genre_scores_gemma":[0.9984332,0.0000595544,0.000291567,0.0003770517,0.0006269914,0.00002602358,0.000009084742,0.00002652171,0.0001499728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6398728,"threshold_uncertainty_score":0.9999537,"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."}}