{"id":"W2905605495","doi":"10.2139/ssrn.3194640","title":"Promotion Optimization in Retail","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Promotion (chess); Marketing; Advertising; Political science; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.00139718,0.00008996877,0.00008976946,0.0002681503,0.0001643388,0.0001554587,0.0001376857,0.00004368469,0.0004381107],"category_scores_gemma":[0.00006290608,0.00008426126,0.00003842091,0.0004182699,0.00002633383,0.0008384849,0.00003695375,0.0005752892,0.0000853164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001880232,"about_ca_system_score_gemma":0.0001857891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001407993,"about_ca_topic_score_gemma":0.00212994,"domain_scores_codex":[0.9985816,0.00001525961,0.0001986834,0.0001279735,0.0001461288,0.0009303652],"domain_scores_gemma":[0.9996545,0.000007413264,0.000126145,0.00008599651,0.0001195811,0.000006364384],"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":[0.0002320649,0.0002762215,0.3670152,0.0000381032,0.00005612563,0.00001348474,0.0001526453,0.0007934381,0.0007526095,0.07637914,0.0002945062,0.5539964],"study_design_scores_gemma":[0.01100543,0.0007542796,0.2452152,0.0006202031,0.000675044,0.0008559977,0.005625119,0.2581902,0.0002014437,0.4138341,0.0600707,0.002952222],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492096,0.0003197051,0.02404898,0.001591945,0.0005834728,0.0002012373,1.391245e-7,0.00008158044,0.02396338],"genre_scores_gemma":[0.9980238,0.0001369539,0.00007789203,0.0001182045,0.0009947956,0.000002852004,0.00000394602,0.00001559443,0.0006259588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5510442,"threshold_uncertainty_score":0.4797004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619687517217987,"score_gpt":0.2335211184349921,"score_spread":0.2173242432628122,"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."}}