{"id":"W4285746218","doi":"","title":"Multi-view Artificial Generation Engine: MAGE -- Générateur de données controlées pour l'apprentissage multivue","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Generator (circuit theory); Artificial intelligence; Power (physics)","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":[0.001491428,0.001408677,0.0008640782,0.001137219,0.0003249134,0.001979662,0.001778821,0.001553108,0.01858962],"category_scores_gemma":[0.004523815,0.0007745794,0.001546499,0.0005046463,0.0004714745,0.001164705,0.001765777,0.001178244,0.005179103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005394688,"about_ca_system_score_gemma":0.0006616332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003516011,"about_ca_topic_score_gemma":0.003748147,"domain_scores_codex":[0.9994273,0.0001001973,0.00004232971,0.0001630067,0.0002258697,0.00004136401],"domain_scores_gemma":[0.9990268,0.0004571041,0.00003833034,0.0002187623,0.0002007761,0.00005816821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002125264,0.0003150069,0.003791441,0.001096015,0.0004277479,0.001209002,0.0007137993,0.09094327,0.1321045,0.03012361,0.06960887,0.6675416],"study_design_scores_gemma":[0.0002091751,0.0001588669,0.00111425,0.00006252953,0.00006998756,0.0005104906,0.00006130888,0.8762584,0.06772477,0.01022746,0.04354243,0.00006029399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00536191,0.0001943331,0.9322062,0.000133025,0.00008434253,0.000109638,0.001270999,0.05878327,0.00185638],"genre_scores_gemma":[0.1328024,0.0002988852,0.8437867,0.0002782872,0.00006393102,0.0003465318,0.006170947,0.008286567,0.007965741],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01858962,"threshold_uncertainty_score":0.06218845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02216273758092492,"score_gpt":0.2361701012500001,"score_spread":0.2140073636690752,"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."}}