{"id":"W4230776549","doi":"10.4000/communication.10382","title":"Luc MASSOU et Nathalie LAVIELLE-GUTNICK (dir.) (2017), Enseigner à l’université avec le numérique. Savoirs, ressources, médiations","year":2019,"lang":"fr","type":"article","venue":"Communication","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":0,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003745442,0.0002510831,0.0003081038,0.0001399401,0.001749723,0.0001189072,0.001202837,0.0004954635,0.001561868],"category_scores_gemma":[0.0006241297,0.000312999,0.0001797694,0.0005794234,0.001376872,0.0007328568,0.0001856416,0.0007077417,0.0009380156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003867018,"about_ca_system_score_gemma":0.0007298528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002702684,"about_ca_topic_score_gemma":0.001544349,"domain_scores_codex":[0.9950911,0.003182723,0.0004650225,0.0004209077,0.0003753624,0.0004648997],"domain_scores_gemma":[0.995011,0.002599862,0.0005006354,0.001264034,0.0004551159,0.0001693051],"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":[0.000007979261,0.0003856119,0.006779753,0.00004830965,0.0001103557,6.305368e-7,0.2665384,0.0002078748,0.0001216643,0.660541,0.06170001,0.003558438],"study_design_scores_gemma":[0.0005171833,0.0000415641,0.01689443,0.0001733128,0.00004060692,0.00000593135,0.1628369,0.0003268961,0.00002164067,0.01329218,0.8054833,0.0003660276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1776175,0.07462116,0.0004696699,0.2710102,0.002934608,0.0009377754,0.000100984,0.0002255856,0.4720826],"genre_scores_gemma":[0.8849222,0.03487556,0.002748463,0.001226972,0.000566058,0.00003995077,0.0006422207,0.00003888688,0.07493971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7437833,"threshold_uncertainty_score":0.9999322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1162624911290528,"score_gpt":0.3728155209123076,"score_spread":0.2565530297832548,"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."}}