{"id":"W2282094739","doi":"","title":"Approche instrumentale des banques de ressources éducatives","year":2003,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Schema (genetic algorithms); Computer science; Metadata; Educational resources; Open educational resources; XML; Knowledge management; Artifact (error); Data science; World Wide Web; Information retrieval; Sociology; Pedagogy; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005188751,0.001548312,0.001381963,0.002527644,0.002060876,0.00631663,0.002888907,0.003592102,0.02472041],"category_scores_gemma":[0.01426401,0.0008731484,0.001876366,0.001109886,0.003044927,0.005372344,0.005009559,0.004627106,0.009416013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001666941,"about_ca_system_score_gemma":0.00220428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00401648,"about_ca_topic_score_gemma":0.003190531,"domain_scores_codex":[0.9925091,0.002355732,0.0002451498,0.00148458,0.002825695,0.0005797571],"domain_scores_gemma":[0.9899009,0.004410881,0.0002566079,0.002504,0.002461187,0.0004663399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00158068,0.0006281564,0.001935396,0.0006550248,0.0001874199,0.0005749245,0.001076758,0.03533005,0.0364278,0.5190136,0.01079293,0.3917973],"study_design_scores_gemma":[0.0005043907,0.0004930851,0.001548306,0.0003843252,0.0002684019,0.0008295845,0.0007339153,0.4330421,0.05437145,0.324639,0.1830135,0.0001720633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01630979,0.0005450104,0.9412267,0.00129848,0.0004216648,0.0002278421,0.0001514784,0.004746349,0.03507271],"genre_scores_gemma":[0.3672185,0.0009436663,0.5433363,0.0007314289,0.0005108907,0.0005545311,0.0006118609,0.001164619,0.08492818],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02472041,"threshold_uncertainty_score":0.08269799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910065869183541,"score_gpt":0.2618893460695002,"score_spread":0.2327886873776648,"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."}}