{"id":"W2029846573","doi":"10.3917/riges.401.0100","title":"Communiquer la marque employeur sur les médias sociaux","year":2015,"lang":"fr","type":"article","venue":"Gestion","topic":"International Student and Expatriate Challenges","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001438866,0.0001333863,0.0001445749,0.00004582117,0.0003088157,0.00009236643,0.0002839061,0.000333822,0.0004763591],"category_scores_gemma":[0.0003508383,0.0001437343,0.00008955387,0.0001322168,0.0002911053,0.0002877307,0.00009502067,0.0003028277,0.0005826204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003681641,"about_ca_system_score_gemma":0.0001527273,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0264039,"about_ca_topic_score_gemma":0.007105161,"domain_scores_codex":[0.9980345,0.0008756798,0.0001853911,0.0001560293,0.0004859621,0.0002624045],"domain_scores_gemma":[0.9989769,0.0003209969,0.0001023206,0.0001075508,0.0003661874,0.0001260408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006336072,0.0003972167,0.0163418,0.0000375601,0.0001005237,0.00002830016,0.1627405,0.00009155964,0.00002689888,0.6248929,0.0630174,0.132262],"study_design_scores_gemma":[0.0006304056,0.0001161208,0.03907803,0.0001694159,0.00004531988,0.000005188496,0.04489732,0.0001061556,0.00003342467,0.01599248,0.8986209,0.000305248],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.74472,0.01241988,0.0001108145,0.1678045,0.002772535,0.0001828253,0.00001664486,0.0001111458,0.07186165],"genre_scores_gemma":[0.9407635,0.005313841,0.0001498092,0.0001857163,0.001028038,0.000008701645,0.00002648289,0.00001700332,0.05250689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8356035,"threshold_uncertainty_score":0.9800794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2113812454148021,"score_gpt":0.3844109703773408,"score_spread":0.1730297249625387,"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."}}