{"id":"W6912154297","doi":"10.5281/zenodo.15388598","title":"Grille d'évaluation de l'utilisation d'un outil d'intelligence artificielle en enseignement supérieur","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Work (physics); Field (mathematics); Context (archaeology); Identifier","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003599748,0.0002963891,0.0002300165,0.0004754621,0.003526868,0.002072081,0.002141774,0.0002227681,0.01116998],"category_scores_gemma":[0.002572955,0.000371544,0.0001170271,0.001775452,0.0003769166,0.0008106717,0.001557969,0.0005026169,0.009963464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063581,"about_ca_system_score_gemma":0.00009627007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002557475,"about_ca_topic_score_gemma":0.000004938721,"domain_scores_codex":[0.9951179,0.00168951,0.000776951,0.0009138529,0.0007009278,0.0008008449],"domain_scores_gemma":[0.9967198,0.0002112096,0.0002438225,0.001043898,0.001541041,0.0002402269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003237311,0.0004372455,0.000008431823,0.00008860275,0.00004700718,0.000007033827,0.02539763,0.003823516,0.002896894,0.1463249,0.07564164,0.7452947],"study_design_scores_gemma":[0.0001194092,0.000237062,0.000943106,0.0001754246,0.00005072088,0.00005850186,0.005569459,0.2049751,0.0234198,0.02538836,0.7387243,0.0003387481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.013396,0.0008679827,0.888579,0.01274013,0.00198913,0.0008976858,0.00006049485,0.0006504478,0.08081918],"genre_scores_gemma":[0.9580887,0.0007825061,0.01774117,0.0009971682,0.0005941208,7.504411e-7,0.0008383657,0.0008235151,0.02013373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9446927,"threshold_uncertainty_score":0.9998736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0717072321513004,"score_gpt":0.3063025515448854,"score_spread":0.2345953193935851,"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."}}