{"id":"W3166312703","doi":"10.4000/communication.13365","title":"Benoit LAFON (dir.) (2019), Médias et médiatisation. Analyser les médias imprimés, audiovisuels, numériques","year":2021,"lang":"fr","type":"article","venue":"Communication","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001914088,0.001046248,0.000522026,0.002205327,0.003466921,0.007160435,0.0006092725,0.00455818,0.0247278],"category_scores_gemma":[0.004357181,0.0004294792,0.0003634887,0.002301278,0.003038653,0.008095862,0.002091648,0.005408875,0.009673866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006682449,"about_ca_system_score_gemma":0.003863373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06087107,"about_ca_topic_score_gemma":0.1181488,"domain_scores_codex":[0.9981483,0.0005997085,0.00008341892,0.0003506947,0.0006671824,0.0001506677],"domain_scores_gemma":[0.9984316,0.000763836,0.0001495406,0.00004425698,0.0003885349,0.0002222934],"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":[0.00006948216,0.00001838974,0.0009573266,0.0003791809,0.00001098316,0.0001234527,0.004117493,0.00005171533,0.0003412561,0.03866711,0.8428971,0.1123665],"study_design_scores_gemma":[0.000003897412,0.000006820525,0.001130023,0.0004909699,0.000004162704,0.0001029159,0.001503783,0.00004008626,0.0001987843,0.003656496,0.9928489,0.00001304037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.001774168,0.564342,0.002932241,0.3273282,0.02902558,0.00004460861,0.0007262922,0.0001629558,0.07366396],"genre_scores_gemma":[0.04261271,0.3372215,0.005003761,0.07037175,0.017408,0.0001898382,0.0006837354,0.0006279253,0.5258808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06087107,"threshold_uncertainty_score":0.1210335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3361224570425767,"score_gpt":0.380168138157687,"score_spread":0.04404568111511031,"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."}}