{"id":"W7097095827","doi":"","title":"DÉPARTEMENT D’INFORMATIQUE ET DE GÉNIE LOGICIEL","year":2008,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software; Computer software; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002871525,0.00006094698,0.00005292026,0.00004330517,0.000103354,0.00004864935,0.0004495122,0.0000319749,0.0001342561],"category_scores_gemma":[0.00004712654,0.00005229798,0.00002570718,0.0001494439,0.00003187961,0.0005970994,0.00008590864,0.00006937337,0.0006499484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007074373,"about_ca_system_score_gemma":0.0002104985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203074,"about_ca_topic_score_gemma":0.00001870487,"domain_scores_codex":[0.999343,0.00003277192,0.0001794844,0.0001150408,0.0001441925,0.0001855432],"domain_scores_gemma":[0.9994878,0.00005893127,0.00004351636,0.0002937219,0.00005327042,0.0000627392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001768559,0.0001814312,0.003773445,0.000005686542,0.000007174685,0.000009863959,0.03131088,0.002042074,0.001003134,0.8832463,0.06293407,0.01548415],"study_design_scores_gemma":[0.0001547903,0.00032095,0.03212966,0.00002558677,0.000004816718,0.0003432612,0.002270758,0.4380706,0.2955433,0.1041899,0.1261103,0.0008361119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0635413,0.000006516893,0.8330538,0.002794049,0.0002176688,0.00007865987,1.134117e-7,0.000143156,0.1001648],"genre_scores_gemma":[0.9158955,0.00002526802,0.07858033,0.004176861,0.00003693573,0.00001678954,7.525949e-7,0.000002293498,0.001265314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8523542,"threshold_uncertainty_score":0.8353989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06412574485176958,"score_gpt":0.3426663235539156,"score_spread":0.278540578702146,"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."}}