{"id":"W2891120837","doi":"10.7202/1050932ar","title":"DISPOSITIFS NUMÉRIQUES POUR L’ENSEIGNEMENT DE LA LITTÉRATURE","year":2018,"lang":"fr","type":"article","venue":"Revue de recherches en littératie médiatique multimodale","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science","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":[0.008036456,0.0006578736,0.0006710172,0.002977401,0.001763796,0.008481108,0.001449547,0.001940366,0.02764084],"category_scores_gemma":[0.04096822,0.0005346722,0.001035849,0.002521235,0.002896183,0.007705156,0.004001114,0.00227427,0.004011335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003332411,"about_ca_system_score_gemma":0.003787019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005793456,"about_ca_topic_score_gemma":0.006295821,"domain_scores_codex":[0.9937845,0.00228814,0.00053235,0.0006808162,0.002495591,0.0002185034],"domain_scores_gemma":[0.9793347,0.01388994,0.001292998,0.0018342,0.003044531,0.0006036656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001506671,0.0001167746,0.006126553,0.001197143,0.00006110803,0.0002403399,0.003857573,0.01298859,0.003280859,0.6015939,0.01460474,0.3557818],"study_design_scores_gemma":[0.00004514174,0.0001567312,0.007636913,0.001831262,0.00008755671,0.0006288891,0.004624891,0.03744198,0.004555091,0.5781062,0.3647414,0.0001439176],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06397517,0.02334076,0.6745183,0.01818182,0.002175747,0.0005529071,0.001884848,0.001176861,0.2141936],"genre_scores_gemma":[0.3995287,0.01660768,0.5232815,0.001053746,0.0009012914,0.001400356,0.001476786,0.0006280954,0.05512191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02764084,"threshold_uncertainty_score":0.09246784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1455943800551311,"score_gpt":0.3474174820485393,"score_spread":0.2018231019934082,"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."}}