{"id":"W7134597047","doi":"","title":"HARMONI sur l'ELT : Performance scientifiques et validation du mode MCAO","year":2025,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"French Language Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Mode (computer interface); Limiting; Work (physics); Measure (data warehouse)","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":[0.02608224,0.001696107,0.0009512582,0.003518973,0.001614325,0.003796996,0.001958588,0.002582032,0.01360471],"category_scores_gemma":[0.1045594,0.0005136139,0.001037446,0.001691786,0.001527532,0.003456761,0.003592775,0.001789961,0.003913792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001285926,"about_ca_system_score_gemma":0.003067011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01353497,"about_ca_topic_score_gemma":0.0095894,"domain_scores_codex":[0.9862938,0.008031509,0.0006317178,0.002139084,0.002435106,0.0004688253],"domain_scores_gemma":[0.9128774,0.06213374,0.001759465,0.0112437,0.01082694,0.001158669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006083632,0.001152572,0.06883606,0.001190536,0.001453013,0.0003021357,0.002744587,0.1194297,0.01378153,0.03879279,0.03359313,0.7126403],"study_design_scores_gemma":[0.0008490835,0.00144444,0.03876832,0.0003883082,0.0002956678,0.0003336405,0.001451128,0.8739408,0.02537354,0.02712838,0.02983775,0.0001889689],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3552131,0.001106701,0.5917226,0.00106997,0.00104261,0.001037025,0.004765101,0.009236781,0.03480618],"genre_scores_gemma":[0.7418504,0.000225827,0.2379863,0.000331797,0.0002057944,0.001361817,0.004404883,0.002209782,0.01142349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02608224,"threshold_uncertainty_score":0.1379378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176335075483438,"score_gpt":0.2926670079525172,"score_spread":0.2750335004041734,"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."}}