{"id":"W2269479761","doi":"10.1016/j.lrp.2015.12.015","title":"Managing and Mobilizing Microdynamics to Achieve Behavioral Integration in Top Management Teams","year":2016,"lang":"en","type":"article","venue":"Long Range Planning","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bridge (graph theory); Diversity (politics); Psychology; Knowledge management; Exploratory research; Process management; Public relations; Business; Sociology; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000603668,0.00007295383,0.00008995806,0.0001196416,0.0002136631,0.00006371889,0.0001225609,0.0000485216,0.00001896272],"category_scores_gemma":[0.0000165235,0.00006428433,0.00001980832,0.0001484181,0.00004391799,0.0002550812,0.00009010733,0.00006764149,0.00001123615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270373,"about_ca_system_score_gemma":0.000007926707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001959383,"about_ca_topic_score_gemma":0.003366239,"domain_scores_codex":[0.9992045,0.00008503483,0.0001129719,0.0002074771,0.0001504412,0.0002395513],"domain_scores_gemma":[0.9997606,0.00003986968,0.00003106979,0.00008492714,0.00001574039,0.00006785207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004534464,0.00004148576,0.8009095,0.00002270859,0.000007773483,0.00005616743,0.07093555,0.00004280089,0.0004818997,0.003099426,0.0001289546,0.1242284],"study_design_scores_gemma":[0.001114089,0.0001196371,0.8120339,0.0008001153,0.00004632985,0.000002133418,0.1806863,0.0001888214,0.0001369649,0.002649855,0.001745089,0.0004767581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829541,0.00006039782,0.008394145,0.001410736,0.0001453028,0.0002192719,0.000005644886,0.0000424044,0.006767982],"genre_scores_gemma":[0.9980202,0.00004127267,0.001165609,0.0001193902,0.00003640164,0.000006677305,0.000003402534,0.000004395733,0.0006026686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1237517,"threshold_uncertainty_score":0.2962014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06008912175539661,"score_gpt":0.3251183062817061,"score_spread":0.2650291845263095,"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."}}