{"id":"W3166603299","doi":"10.3917/entin.047.0076","title":"Réseaux sociaux et régulation des émotions : le cas de LiveMentor","year":2021,"lang":"fr","type":"article","venue":"Entreprendre & Innover","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Musée de la Civilisation","funders":"","keywords":"Humanities; Political science; Coronavirus disease 2019 (COVID-19); Art; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003276828,0.0002432697,0.0003348987,0.0008706793,0.003197724,0.007149545,0.0005584477,0.001706274,0.008639475],"category_scores_gemma":[0.007166448,0.0002016913,0.0003231766,0.000704105,0.004720253,0.003007442,0.003049003,0.002159885,0.0006090626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002789313,"about_ca_system_score_gemma":0.001551442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01470407,"about_ca_topic_score_gemma":0.01867124,"domain_scores_codex":[0.9971966,0.001726596,0.00004698246,0.0002371882,0.0003262498,0.0004665177],"domain_scores_gemma":[0.9948775,0.002124211,0.001145664,0.0002273174,0.000408313,0.001217027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006711978,0.0006050154,0.2734934,0.0003578035,0.0001648548,0.003878738,0.462934,0.0004604356,0.002051052,0.1394171,0.01086918,0.1050973],"study_design_scores_gemma":[0.000040248,0.0003110268,0.3139669,0.0004511384,0.00007936364,0.001356674,0.5730093,0.001480066,0.0005906622,0.02988825,0.07869281,0.0001335413],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8982333,0.003027566,0.00199186,0.02294939,0.000202667,0.00004200005,0.0001296711,0.00001780524,0.07340561],"genre_scores_gemma":[0.9926009,0.0008346735,0.000283192,0.0006647103,0.00004801025,0.00002276127,0.00002249882,0.000008011581,0.005515193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01470407,"threshold_uncertainty_score":0.02923697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05731407985656597,"score_gpt":0.304718422869117,"score_spread":0.2474043430125511,"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."}}