{"id":"W4256149143","doi":"10.4000/communication.10400","title":"Arnaud MERCIER et Nathalie PIGNARD-CHEYNEL (dir.) (2018), #Info. Commenter et partager l’actualité sur Twitter et Facebook","year":2019,"lang":"fr","type":"article","venue":"Communication","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001609254,0.0004985607,0.0004861703,0.0001096052,0.0002433713,0.002355535,0.001835934,0.0002832407,0.00126078],"category_scores_gemma":[0.0001644821,0.0004171851,0.0002565232,0.0002820662,0.0002342305,0.005838299,0.001719259,0.0009533763,0.004408529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001859303,"about_ca_system_score_gemma":0.0002125296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001840774,"about_ca_topic_score_gemma":0.000538011,"domain_scores_codex":[0.9961715,0.001372023,0.0007052498,0.0005690526,0.0005351997,0.0006470145],"domain_scores_gemma":[0.9948486,0.000870788,0.0004253467,0.003166822,0.0003746411,0.0003138046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005887149,0.0009754622,0.001139825,0.0001430106,0.0002196089,0.00001769988,0.05010277,0.0003766232,0.003499878,0.1702759,0.7626491,0.01054126],"study_design_scores_gemma":[0.001022453,0.0001731107,0.008329255,0.000460332,0.00003433208,0.00006634168,0.0003430228,0.002580872,0.001194713,0.006077057,0.9790702,0.0006482892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07414733,0.03563013,0.006346428,0.2330929,0.00256701,0.002592257,0.0001268439,0.0004322256,0.6450649],"genre_scores_gemma":[0.7888421,0.002618449,0.00147403,0.06419857,0.00005142173,0.00006107283,0.0002815633,0.00004946179,0.1424233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7146947,"threshold_uncertainty_score":0.999828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3448486647325864,"score_gpt":0.3545462285876418,"score_spread":0.009697563855055491,"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."}}