{"id":"W4283577970","doi":"10.3389/fpsyg.2022.923150","title":"Getting Ahead While Getting Along: Followership as a Key Ingredient for Shared Leadership and Reducing Team Conflict","year":2022,"lang":"en","type":"article","venue":"Frontiers in Psychology","topic":"Conflict Management and Negotiation","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Followership; Psychology; Reputation; Shared leadership; Social psychology; Team effectiveness; Team composition; Transactional leadership; Leadership studies; Interpersonal communication; Leadership style; Knowledge management; Sociology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002420851,0.0001475694,0.0002572924,0.0004089037,0.0009090946,0.00008268219,0.0003364993,0.0001147333,0.0001821678],"category_scores_gemma":[0.0005006714,0.0001887352,0.00007869959,0.0004502868,0.0001627716,0.0002060911,0.0001086405,0.0003090636,0.000003702311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000197691,"about_ca_system_score_gemma":0.0000660766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004733294,"about_ca_topic_score_gemma":0.0002731291,"domain_scores_codex":[0.9977829,0.0003704762,0.000354713,0.0005585324,0.0002835172,0.0006497924],"domain_scores_gemma":[0.9992819,0.0001839717,0.0002037454,0.0001989009,0.00003813767,0.00009328952],"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":[0.0005916368,0.0002177924,0.2018596,0.0001000849,0.0001485545,0.00002716517,0.2422556,0.00006477015,0.0004148235,0.006334841,0.3411778,0.2068074],"study_design_scores_gemma":[0.002477768,0.0003189361,0.01009492,0.00005676164,0.00004885166,0.000004957525,0.1083003,0.0013361,0.00001710663,0.004633381,0.872252,0.0004589695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6894909,0.008302873,0.01361313,0.06858125,0.01930858,0.005120195,0.00004038519,0.0005421935,0.1950005],"genre_scores_gemma":[0.9871179,0.00009304809,0.005421133,0.003770493,0.0004417616,0.0003601389,0.00004420528,0.00003406415,0.002717276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5310742,"threshold_uncertainty_score":0.7696397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07964071578872665,"score_gpt":0.345157367799478,"score_spread":0.2655166520107514,"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."}}