{"id":"W4376623417","doi":"10.2139/ssrn.4447583","title":"Upward Influencers in Teams","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Influencer marketing; Business; Marketing; Marketing 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001408364,0.0001023326,0.0001234556,0.0002700752,0.00008780545,0.00002340404,0.0002606365,0.00008436971,0.0001711221],"category_scores_gemma":[0.00001671881,0.00009338126,0.00006208288,0.0005439906,0.00003217674,0.0001007516,0.00002543487,0.001753173,0.001067092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005721076,"about_ca_system_score_gemma":0.0006605295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002770797,"about_ca_topic_score_gemma":0.001382093,"domain_scores_codex":[0.9972449,0.00005533469,0.0002306736,0.0001567424,0.0001430912,0.00216928],"domain_scores_gemma":[0.9996644,0.00002964331,0.00007303806,0.0001582884,0.00001994044,0.00005468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001670199,0.00008937048,0.3908188,0.000006749866,0.0001732004,0.00008020357,0.003683267,0.0008423235,0.0001733083,0.3580536,0.001977131,0.2439351],"study_design_scores_gemma":[0.003508752,0.0009090053,0.5797132,0.00005720774,0.00002569281,0.001313708,0.01770456,0.002901695,0.000008648775,0.3559736,0.03720134,0.0006826486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909276,0.0005982445,0.0001351069,0.0007222098,0.0006217758,0.00006423872,0.000001700629,0.0000591592,0.006870011],"genre_scores_gemma":[0.9908349,0.001689591,0.000008078775,0.0001295642,0.000183904,0.000009357534,0.000003304929,0.0000198268,0.007121452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2432524,"threshold_uncertainty_score":0.9997107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008074881599415017,"score_gpt":0.2974850274947726,"score_spread":0.2894101458953576,"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."}}