{"id":"W2045651102","doi":"10.1016/s0019-8501(02)00274-2","title":"Designing sales force satisfying selling positions: a conjoint measurement approach","year":2002,"lang":"en","type":"article","venue":"Industrial Marketing Management","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Université Laval","funders":"","keywords":"Operationalization; Salary; Sales force; Compensation (psychology); Appeal; Conjoint analysis; Business; Marketing; Sample (material); Task (project management); Preference; Sales management; Psychology; Microeconomics; Economics; Social psychology; Management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005946977,0.0004250207,0.0004057841,0.0005232071,0.0007894056,0.0008789328,0.0004875539,0.0001788614,0.0005069965],"category_scores_gemma":[0.0003377925,0.0004494936,0.0001890804,0.0009594575,0.00006224327,0.0008643162,0.0003916261,0.000453728,0.0004667608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002368192,"about_ca_system_score_gemma":0.00001047224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002672529,"about_ca_topic_score_gemma":0.00002830878,"domain_scores_codex":[0.9963988,0.0001962862,0.0008241191,0.0007204631,0.001111977,0.0007483189],"domain_scores_gemma":[0.9986114,0.0001647765,0.0004796,0.0004852631,0.000212914,0.00004604557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002171088,0.003854841,0.02908163,0.01141081,0.003605186,0.0005038032,0.002816925,0.02601231,0.002993987,0.08571966,0.2221878,0.6096419],"study_design_scores_gemma":[0.02259642,0.0001669982,0.01426867,0.008993311,0.00378201,0.00005653951,0.03298444,0.3009521,0.0003470053,0.005827317,0.6021194,0.007905715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1055275,0.001879584,0.06037423,0.006636006,0.00353026,0.006155864,0.00001228615,0.002598047,0.8132862],"genre_scores_gemma":[0.9869943,0.00005511211,0.007279903,0.002261597,0.002197027,0.000209537,0.00004448054,0.00008547724,0.0008725844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8814668,"threshold_uncertainty_score":0.9997957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1272482547362997,"score_gpt":0.2345732632500379,"score_spread":0.1073250085137382,"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."}}