{"id":"W3123181428","doi":"10.2139/ssrn.3743816","title":"Direct Selling Under Scrutiny: Assessing Analytic Direct Selling Models","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Securities Regulation and Market Practices","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Scrutiny; Business; Marketing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0124283,0.0009415784,0.001125364,0.003285818,0.001104376,0.007190005,0.002771109,0.001676236,0.005721481],"category_scores_gemma":[0.07404869,0.0004989278,0.002057099,0.001970874,0.002472166,0.006764274,0.002714562,0.001736407,0.0004951537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003376869,"about_ca_system_score_gemma":0.001911679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004749115,"about_ca_topic_score_gemma":0.00267815,"domain_scores_codex":[0.9944728,0.002567988,0.0002393754,0.0007081361,0.001648236,0.0003634545],"domain_scores_gemma":[0.9046985,0.07967656,0.006302365,0.004405621,0.003467668,0.001449327],"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":[0.00430814,0.002275273,0.1886931,0.0007348906,0.001672669,0.0006905024,0.003664494,0.3788444,0.002371497,0.3103399,0.002506574,0.1038986],"study_design_scores_gemma":[0.0001625003,0.001500597,0.03021577,0.0001054575,0.0003940204,0.0003593231,0.001405802,0.8899354,0.0006443172,0.07402468,0.001171713,0.00008045571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585942,0.0004804833,0.01981443,0.0002375713,0.00002298327,0.0001992658,0.0001541375,0.00009234723,0.02040453],"genre_scores_gemma":[0.99504,0.0001274647,0.003783779,0.0000185266,0.00001346545,0.00004817088,0.0001080689,0.00001659722,0.0008438614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0124283,"threshold_uncertainty_score":0.06572789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03431535663290591,"score_gpt":0.2558576684856584,"score_spread":0.2215423118527525,"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."}}