{"id":"W2170929668","doi":"10.7202/1020667ar","title":"Du « bon usage » des réseaux sociaux en entreprise : le cas de figure des cadres-femmes aux Etats-Unis1","year":2013,"lang":"fr","type":"article","venue":"Management international","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Sociology; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003552965,0.0004049858,0.0003013734,0.001780402,0.005807791,0.005690421,0.0007524592,0.001574055,0.006535871],"category_scores_gemma":[0.008231347,0.0001760491,0.000237488,0.002161123,0.01310314,0.004198831,0.004689294,0.001972059,0.0004448489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003676495,"about_ca_system_score_gemma":0.001838292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166708,"about_ca_topic_score_gemma":0.01888997,"domain_scores_codex":[0.9942205,0.003623021,0.00009288723,0.000339484,0.0009847682,0.0007393299],"domain_scores_gemma":[0.9930949,0.003150563,0.001604719,0.0005384879,0.0007135323,0.0008978518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001806953,0.0001362437,0.06220853,0.0002198791,0.00003640923,0.001041339,0.3974545,0.0002290947,0.001866991,0.4251532,0.004514132,0.106959],"study_design_scores_gemma":[0.00002967672,0.0003861874,0.1807681,0.0005599463,0.00005444477,0.001990921,0.4890663,0.0008734922,0.001320803,0.0690968,0.2557561,0.00009718889],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7993793,0.002208965,0.002490621,0.01405328,0.0001879119,0.00002122627,0.00005758663,0.0000368918,0.1815642],"genre_scores_gemma":[0.9950407,0.0003321141,0.0002840874,0.0002299277,0.00004547519,0.000009427014,0.000009530555,0.00000876296,0.004039987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01166708,"threshold_uncertainty_score":0.02667493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090622375438504,"score_gpt":0.3264038769612737,"score_spread":0.2173416394174232,"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."}}