{"id":"W2896619815","doi":"","title":"Efficacité d'un test semi-paramétrique d'indépendance entre vecteurs aléatoires","year":2009,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Mathematics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004873011,0.0006093001,0.0005268336,0.0002811949,0.0007876094,0.001873941,0.003804306,0.0002788454,0.000374348],"category_scores_gemma":[0.002226698,0.0006933144,0.0002863021,0.001815008,0.0004355069,0.001666264,0.001111482,0.0006990349,0.0005794493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550449,"about_ca_system_score_gemma":0.0002324407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004243015,"about_ca_topic_score_gemma":0.0004271961,"domain_scores_codex":[0.9920994,0.003737916,0.0008243076,0.001452002,0.0008147005,0.001071667],"domain_scores_gemma":[0.9919878,0.002192042,0.0005685125,0.003307305,0.001479573,0.00046472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006837405,0.001557039,0.0008316051,0.00005962073,0.00005278497,0.00007930534,0.003723575,0.00004669537,0.001179801,0.3028288,0.009848294,0.6797857],"study_design_scores_gemma":[0.002526865,0.000009659221,0.02611605,0.003320575,0.0001355229,0.0001493504,0.0001647717,0.2052329,0.1102382,0.01775968,0.6324441,0.001902189],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01353384,0.009807861,0.7500124,0.1311155,0.001127405,0.0008473463,0.0001579907,0.0007653764,0.09263226],"genre_scores_gemma":[0.6001374,0.004911426,0.2056939,0.002012634,0.0002367052,0.00005181163,0.0004892687,0.00009491646,0.1863719],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6778835,"threshold_uncertainty_score":0.9995518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108796217054975,"score_gpt":0.2130917481783446,"score_spread":0.2022121264728471,"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."}}