{"id":"W2965309183","doi":"10.7202/1060969ar","title":"Les éditeurs comme personnages médiatiques","year":2019,"lang":"fr","type":"article","venue":"Mémoires du livre","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00361529,0.0005615796,0.0003089283,0.001699808,0.006624882,0.008011535,0.0005884761,0.001618907,0.014811],"category_scores_gemma":[0.01544345,0.0002172822,0.0002221093,0.001533201,0.004711151,0.003664675,0.003740181,0.002323842,0.002998212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002365505,"about_ca_system_score_gemma":0.002889783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008169475,"about_ca_topic_score_gemma":0.01120222,"domain_scores_codex":[0.993872,0.002487371,0.0002398585,0.0006273627,0.002021035,0.0007524035],"domain_scores_gemma":[0.9870157,0.006459831,0.001778144,0.0008935555,0.002110483,0.001742344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000211754,0.00006766832,0.01470471,0.0006550803,0.00004047274,0.002764381,0.6050348,0.0001830243,0.006234713,0.1465533,0.07807565,0.1454745],"study_design_scores_gemma":[0.000005044315,0.00004451981,0.008166719,0.0002072553,0.0000115207,0.0006105363,0.03720197,0.00004649894,0.0008559518,0.001560209,0.9512591,0.00003058921],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4093156,0.01702389,0.005333317,0.03780222,0.007832522,0.000109148,0.0006764347,0.0004450298,0.5214618],"genre_scores_gemma":[0.7972019,0.004959081,0.00103359,0.002739574,0.002589076,0.00008313757,0.0001734697,0.0002011335,0.191019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.014811,"threshold_uncertainty_score":0.04954779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1945234936677952,"score_gpt":0.309523081139675,"score_spread":0.1149995874718798,"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."}}