{"id":"W7026772266","doi":"","title":"Apprentissage de représentations sur-complètes par entraînement dâauto-encodeurs","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Filter (signal processing); Tubulopathy; Limiting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005711311,0.0009102707,0.0006229149,0.0004670537,0.000547377,0.001543259,0.001022829,0.0006909197,0.01091073],"category_scores_gemma":[0.002637769,0.0004102961,0.000707817,0.0003359671,0.0006979114,0.001940182,0.00135971,0.001153125,0.003339221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006211344,"about_ca_system_score_gemma":0.000640374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001653227,"about_ca_topic_score_gemma":0.002055587,"domain_scores_codex":[0.9994938,0.00007389002,0.00003266547,0.0001675415,0.0001504981,0.00008153196],"domain_scores_gemma":[0.9990416,0.0003085277,0.00007479591,0.000257658,0.000245694,0.0000716639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001248595,0.0001963782,0.002613554,0.0006801931,0.0001479781,0.0007415853,0.001310962,0.06205474,0.4683264,0.06461648,0.005038756,0.3930243],"study_design_scores_gemma":[0.0000714031,0.0006097525,0.002873526,0.0001152393,0.0001468526,0.0005989237,0.000424481,0.4485688,0.449396,0.03541655,0.06164674,0.0001318447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1943871,0.002102478,0.7728581,0.0006029161,0.0007021493,0.0001252894,0.0004689056,0.006603525,0.0221495],"genre_scores_gemma":[0.7747272,0.001176261,0.18113,0.0003696695,0.0001326449,0.0002062018,0.0007993943,0.001245055,0.04021354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01091073,"threshold_uncertainty_score":0.03649998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003730920670954962,"score_gpt":0.1513477357734591,"score_spread":0.1476168151025041,"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."}}