{"id":"W2995861099","doi":"10.3917/riges.444.0084","title":"Réseaux sociaux : quel ton adopter ?","year":2019,"lang":"fr","type":"article","venue":"Gestion","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Ton; Early adopter; Humanities; Political science; Geography; Art; Business; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005650188,0.0004416064,0.0003833813,0.001622466,0.002959881,0.009447961,0.001029761,0.002471468,0.008678684],"category_scores_gemma":[0.01081596,0.0003143489,0.000415893,0.001964867,0.005602704,0.01010813,0.003554513,0.003487095,0.001773313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003772792,"about_ca_system_score_gemma":0.002830805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01353519,"about_ca_topic_score_gemma":0.02092629,"domain_scores_codex":[0.9905813,0.004773565,0.0002804641,0.0009589434,0.002398341,0.001007337],"domain_scores_gemma":[0.9926512,0.002546326,0.001183246,0.0008119823,0.001820195,0.0009871543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009965507,0.0003284247,0.06006639,0.0004503785,0.0001199805,0.001558894,0.1932909,0.0002639593,0.005728454,0.4489816,0.01921314,0.2698983],"study_design_scores_gemma":[0.00003629375,0.000286203,0.05155082,0.0006600675,0.00008558784,0.001400301,0.2817014,0.0005359721,0.002432892,0.04989396,0.6113049,0.0001115582],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4869795,0.009901871,0.01820156,0.1439092,0.001073939,0.0001159566,0.0001916619,0.0002438392,0.3393825],"genre_scores_gemma":[0.9542053,0.004717988,0.003282993,0.004401565,0.00037262,0.00008857679,0.00008464882,0.00009255973,0.03275365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01353519,"threshold_uncertainty_score":0.02988142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446628655052705,"score_gpt":0.317268310655816,"score_spread":0.282802024105289,"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."}}