{"id":"W4410131840","doi":"10.1177/15480518251337261","title":"The Me You (Don’t) See: How Leaders Filter Intrapersonal Information at Work","year":2025,"lang":"en","type":"article","venue":"Journal of Leadership & Organizational Studies","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Waterloo; Toronto Metropolitan University","funders":"","keywords":"Intrapersonal communication; Work (physics); Psychology; Social psychology; Filter (signal processing); Public relations; Management; Interpersonal communication; Computer science; Political science; Economics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0007838714,0.0002284711,0.0003475289,0.0002009111,0.0005162354,0.00009975334,0.0004170407,0.0001653653,0.0007089436],"category_scores_gemma":[0.0005824255,0.0001548837,0.0001558171,0.0007735154,0.0006716162,0.0003512281,0.00006554952,0.0004593545,0.0001441909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332829,"about_ca_system_score_gemma":0.0001088503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002457259,"about_ca_topic_score_gemma":0.00003170866,"domain_scores_codex":[0.9981187,0.0002310956,0.0006064359,0.0001679836,0.0004696772,0.0004060963],"domain_scores_gemma":[0.9977099,0.0007643323,0.0004668164,0.0001744491,0.0008080173,0.00007647719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005714654,0.0001018975,0.06007377,0.00005767626,0.002292191,0.00001393102,0.03599321,0.00002272677,0.00008443454,0.01389485,0.8814989,0.00539489],"study_design_scores_gemma":[0.002322984,0.0002315633,0.2841372,0.0001499292,0.0002524471,0.0002453645,0.1989107,0.000003142083,0.00008038324,0.001394814,0.5119168,0.0003547105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1582211,0.0330195,0.002571605,0.787349,0.008701418,0.0004095293,0.00003739387,0.00008082425,0.009609583],"genre_scores_gemma":[0.9486548,0.0005744518,0.0003106256,0.01968641,0.0009800766,0.00001186823,0.00002461395,0.00002661966,0.02973048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7904338,"threshold_uncertainty_score":0.7762436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09991006417033325,"score_gpt":0.3400836621543172,"score_spread":0.2401735979839839,"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."}}