{"id":"W3021870449","doi":"10.1016/j.indmarman.2020.05.005","title":"Managing the sales force through the unexpected exogenous COVID-19 crisis","year":2020,"lang":"en","type":"article","venue":"Industrial Marketing Management","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":252,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Context (archaeology); Business; Set (abstract data type); Variable (mathematics); Public relations; Marketing; Task (project management); Sales management; Economics; Political science; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00136694,0.0003365215,0.0002944247,0.0005005262,0.0009185396,0.004036204,0.0004720092,0.002474124,0.009807311],"category_scores_gemma":[0.005147956,0.0002063416,0.0001980267,0.0004975857,0.001131556,0.002487612,0.001628491,0.002808358,0.000967284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001790914,"about_ca_system_score_gemma":0.002227174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009398906,"about_ca_topic_score_gemma":0.01003219,"domain_scores_codex":[0.9995994,0.00008574669,0.000009669132,0.00003852744,0.00007230257,0.0001943261],"domain_scores_gemma":[0.9986879,0.0002962702,0.0004209644,0.00005880643,0.000178272,0.000357859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001155841,0.001202224,0.1115411,0.0003489283,0.0001579003,0.004389125,0.002604373,0.1003244,0.005171574,0.4347518,0.1855631,0.1527896],"study_design_scores_gemma":[0.0002658436,0.0007610492,0.1606289,0.0004290717,0.00008442641,0.0007276295,0.01893992,0.2624446,0.002614453,0.3582847,0.1946465,0.0001728426],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7258425,0.001893566,0.007686413,0.0733681,0.0006598831,0.0000853191,0.0007352308,0.0002222966,0.1895068],"genre_scores_gemma":[0.9916552,0.0005658328,0.0002715587,0.0009788581,0.0001482103,0.00001249573,0.00006539018,0.00001723171,0.006285224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009807311,"threshold_uncertainty_score":0.03280872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1395530397667987,"score_gpt":0.2812130374447541,"score_spread":0.1416599976779555,"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."}}