{"id":"W7134875867","doi":"","title":"Une distance structurée en graphe pour les jeux de données hétérogènes via les variables méta","year":2024,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variable (mathematics); Matching (statistics); Institution; Term (time)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005360824,0.0009831233,0.001178116,0.00503683,0.001484527,0.004822917,0.001962828,0.001711649,0.005677637],"category_scores_gemma":[0.03457882,0.0006693563,0.002015127,0.005579293,0.001269426,0.006958341,0.002985357,0.003139181,0.002250685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002956061,"about_ca_system_score_gemma":0.002767563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009338454,"about_ca_topic_score_gemma":0.01595731,"domain_scores_codex":[0.9937732,0.002234763,0.0005956886,0.001562131,0.001624149,0.0002101467],"domain_scores_gemma":[0.9804674,0.01262259,0.001171288,0.00303119,0.002264659,0.0004428438],"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":[0.000899377,0.0004007567,0.02376808,0.001399857,0.0006239708,0.000331402,0.001569324,0.1054749,0.005570059,0.3540068,0.05607389,0.4498816],"study_design_scores_gemma":[0.0001381008,0.0002974896,0.007393924,0.0004304822,0.0001543978,0.0006933649,0.0009299694,0.5526714,0.006111089,0.3644865,0.06657148,0.0001216742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04360136,0.001901973,0.929895,0.002854835,0.0002269314,0.0001752398,0.0126084,0.004174405,0.004561751],"genre_scores_gemma":[0.2087137,0.0006496047,0.7699604,0.000309481,0.0001067155,0.0003568224,0.01385613,0.000964843,0.005082271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009338454,"threshold_uncertainty_score":0.02835113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364297334278981,"score_gpt":0.2374392936162486,"score_spread":0.2237963202734588,"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."}}