{"id":"W4392503511","doi":"","title":"From MT homogeneous systems to heterogeneous CAT systems","year":2009,"lang":"fr","type":"preprint","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Homogeneous; Computer science; Physics; Statistical 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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.01306398,0.001415696,0.001773418,0.002209128,0.00145803,0.0115298,0.00578118,0.001840041,0.0005893449],"category_scores_gemma":[0.001926681,0.001405365,0.0007360322,0.003223249,0.0004647456,0.003822689,0.002102392,0.001304788,0.005512196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231635,"about_ca_system_score_gemma":0.002453873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009161085,"about_ca_topic_score_gemma":0.0003206548,"domain_scores_codex":[0.9859172,0.001410519,0.004982613,0.002309962,0.003837401,0.00154228],"domain_scores_gemma":[0.9865337,0.0009036852,0.002490952,0.005007903,0.003640372,0.001423373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001000277,0.0003461101,0.0001094131,0.0004108952,0.0001212283,0.00007781813,0.00481224,0.6443574,0.006941308,0.07818709,0.09984527,0.1646912],"study_design_scores_gemma":[0.0003739263,0.0001070379,0.0001246741,0.002175829,0.00009457633,0.0002210156,0.0005007032,0.1272739,0.01523752,0.009526621,0.842801,0.001563156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01251192,0.0006209235,0.9127749,0.003998399,0.005635959,0.03186279,0.003212835,0.001424878,0.02795742],"genre_scores_gemma":[0.7472984,0.0008832164,0.190674,0.005015513,0.001380993,0.02486359,0.003544642,0.000203896,0.02613579],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7429558,"threshold_uncertainty_score":0.9998593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533452370087005,"score_gpt":0.3454448796105173,"score_spread":0.2901103559096472,"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."}}