{"id":"W2908431646","doi":"","title":"Learn-OCaml : un assistant à l'enseignement d'OCaml","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Prevention of Organ Failure","funders":"","keywords":"Humanities; Art","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01222171,0.0009479852,0.001012058,0.0003301264,0.001149163,0.002046891,0.003975996,0.0006522569,0.00069852],"category_scores_gemma":[0.001419464,0.001031936,0.0006979386,0.0007922003,0.0003390371,0.0004909207,0.004147478,0.001945334,0.001705916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007859171,"about_ca_system_score_gemma":0.001036996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00416376,"about_ca_topic_score_gemma":0.0006471975,"domain_scores_codex":[0.9817137,0.01184983,0.001491253,0.002282836,0.001430365,0.001232024],"domain_scores_gemma":[0.9867973,0.002075001,0.00153216,0.004826121,0.004305925,0.0004634512],"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":[0.00001251327,0.0006552608,0.001899539,0.0003294109,0.0002491526,0.00003845263,0.01948398,0.002004501,0.001864042,0.8909485,0.00143488,0.0810798],"study_design_scores_gemma":[0.0008686294,0.000004195705,0.01130937,0.008489849,0.000118424,0.00006940558,0.0006157125,0.1051237,0.03290108,0.004000301,0.8348362,0.001663098],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01718826,0.003927021,0.8338004,0.01574936,0.002871751,0.0009802013,0.00003956493,0.0004196879,0.1250237],"genre_scores_gemma":[0.5529505,0.0006888167,0.08400679,0.0002457454,0.0001470596,0.00009548175,0.0001477355,0.0001116011,0.3616063],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8869482,"threshold_uncertainty_score":0.9992131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155483638915077,"score_gpt":0.2258764151057946,"score_spread":0.2043215787166439,"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."}}