{"id":"W2042296022","doi":"10.1007/s11002-013-9242-5","title":"Targeting Miss Daisy: Using age and gender to target unethical sales tactics","year":2013,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Business; Marketing; Stereotype (UML); Advertising; Sales management; Contrast (vision); Sales force; Psychology; Social psychology; Computer science","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":[0.002992234,0.0002864895,0.0002239529,0.0007327275,0.001308922,0.001596885,0.0003437366,0.0009373821,0.004860489],"category_scores_gemma":[0.01974038,0.0001549964,0.0001373207,0.0002729217,0.0005801705,0.001569916,0.001081275,0.001096482,0.0008852417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007856947,"about_ca_system_score_gemma":0.001484746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002143945,"about_ca_topic_score_gemma":0.004976474,"domain_scores_codex":[0.9983212,0.0009653119,0.00005472039,0.0001069042,0.0003394492,0.00021239],"domain_scores_gemma":[0.9920275,0.004146051,0.001718072,0.0003194248,0.000965148,0.0008239484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002185209,0.003033527,0.215908,0.0003095333,0.00006589421,0.0006785608,0.01450384,0.001642522,0.01176853,0.01072641,0.01283987,0.726338],"study_design_scores_gemma":[0.0007209198,0.01481382,0.6227067,0.001481999,0.0006276154,0.005278128,0.07098305,0.04925038,0.04739909,0.06283566,0.1235206,0.0003819352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174227,0.0007055019,0.01240046,0.008441124,0.0002697213,0.0001916247,0.00007072868,0.0001184229,0.06037983],"genre_scores_gemma":[0.9882334,0.0002687165,0.005237697,0.001060781,0.00004998584,0.00009393435,0.00001459522,0.00001434126,0.00502654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004860489,"threshold_uncertainty_score":0.01625997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2013140743644679,"score_gpt":0.394199833427575,"score_spread":0.1928857590631071,"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."}}