{"id":"W2032564881","doi":"10.1108/mip-04-2013-0061","title":"Attitudinal, personal, and job-related predictors of salesperson turnover","year":2014,"lang":"en","type":"article","venue":"Marketing Intelligence & Planning","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Originality; Marketing; Linear discriminant analysis; Variables; Job satisfaction; Sample (material); Human resource management; Business; Turnover; Psychology; Variety (cybernetics); Product (mathematics); Job analysis; Test (biology); Social psychology; Knowledge management; Economics; Management; Statistics; 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":[0.001398769,0.0001399883,0.000111185,0.0005896979,0.0003317328,0.0006669562,0.0001671123,0.0002644536,0.003347648],"category_scores_gemma":[0.005511675,0.0001144658,0.0001559806,0.000396438,0.0002469603,0.0002846865,0.0003292036,0.0005618564,0.0004985858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142194,"about_ca_system_score_gemma":0.0003157345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001668478,"about_ca_topic_score_gemma":0.003171062,"domain_scores_codex":[0.9994208,0.0002776324,0.00004226106,0.00003717665,0.0001349879,0.00008715338],"domain_scores_gemma":[0.992664,0.002239065,0.003352593,0.0002620194,0.0006487962,0.0008335905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001688958,0.00007605035,0.9980152,0.00000368024,0.000006298385,0.000008562357,0.00007910722,0.00003625688,0.00003951035,0.00001268825,0.00002836303,0.001677442],"study_design_scores_gemma":[0.000001130622,0.00006200276,0.9988278,0.000006650768,0.000003965213,0.00003897587,0.0005736282,0.0003148772,0.0000625491,0.00002523178,0.00008150342,0.000001659725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994235,0.00002845134,0.00007309127,0.00004642682,0.00000186272,0.000003012263,0.00002689198,0.000001173484,0.0003955518],"genre_scores_gemma":[0.9996239,0.000024652,0.00009358348,0.0000127523,0.000004500467,0.000004269563,0.00005879573,6.150297e-7,0.0001768775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003347648,"threshold_uncertainty_score":0.01119894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665531500086991,"score_gpt":0.2421461138971758,"score_spread":0.2254907988963059,"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."}}