{"id":"W3092431115","doi":"10.18162/ritpu-2020-v17n1-11","title":"Mutualisation de ressources éducatives numériques (REN) et libres (REL) en enseignement supérieur : pourquoi, pour qui et comment?","year":2020,"lang":"fr","type":"article","venue":"Revue internationale des technologies en pédagogie universitaire","topic":"Information Technology and Learning","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":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007989362,0.0003448258,0.0003343195,0.0003986165,0.0007088347,0.0001671745,0.001414921,0.0007094778,0.0003168948],"category_scores_gemma":[0.003251369,0.0004093432,0.0001903213,0.0006411981,0.001258073,0.002018199,0.0005671487,0.001026479,0.000248918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299693,"about_ca_system_score_gemma":0.0004364676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004818992,"about_ca_topic_score_gemma":0.0005629882,"domain_scores_codex":[0.9974247,0.0007594838,0.0004567384,0.000446713,0.0003806505,0.0005317383],"domain_scores_gemma":[0.997543,0.001293415,0.0004846206,0.0002753629,0.0003069041,0.00009665718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001002878,0.0001961638,0.01044996,0.0002500588,0.0003708263,0.00009925201,0.5134158,0.001956634,0.0002092285,0.3735289,0.03302221,0.06640067],"study_design_scores_gemma":[0.0003691683,0.0002289382,0.0007954464,0.0004412869,0.00004164322,0.00001830289,0.5891131,0.001774136,0.001441199,0.01074147,0.3946944,0.0003409036],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4982021,0.002372273,0.00914281,0.4681602,0.0002871706,0.0003509715,0.00007931557,0.002274435,0.01913068],"genre_scores_gemma":[0.9619617,0.008546119,0.007876412,0.001809192,0.0001575067,0.0000234322,0.0001136666,0.00004135336,0.01947065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4663511,"threshold_uncertainty_score":0.9998358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0429331388592287,"score_gpt":0.3122183452248238,"score_spread":0.2692852063655952,"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."}}