{"id":"W4297583435","doi":"","title":"Experiments on Speaker Profile Portability","year":2005,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Software portability; Computer science; Speaker recognition; Speech recognition; Operating system","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":[0.006025624,0.001391071,0.001508785,0.0008039235,0.0007989918,0.001049817,0.00152509,0.001565957,0.004792464],"category_scores_gemma":[0.03853622,0.0004839759,0.0006408924,0.001005059,0.0008644941,0.001974405,0.002097461,0.001873096,0.001901286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565639,"about_ca_system_score_gemma":0.0004087439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702145,"about_ca_topic_score_gemma":0.0008576979,"domain_scores_codex":[0.9911049,0.004032678,0.00128778,0.001713616,0.001387394,0.0004734846],"domain_scores_gemma":[0.9673654,0.02169752,0.0008292811,0.006824659,0.00262237,0.0006607852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02565276,0.008915819,0.01985302,0.003860262,0.001268487,0.004185562,0.005086642,0.09666564,0.2579857,0.002844684,0.01926747,0.554414],"study_design_scores_gemma":[0.004367266,0.02114038,0.09029884,0.0002613939,0.001198046,0.01200479,0.003850276,0.4185204,0.4039162,0.01152397,0.0321771,0.0007414283],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615479,0.0007177425,0.02562388,0.0002322774,0.0002944989,0.0007985907,0.002210147,0.003306184,0.005268884],"genre_scores_gemma":[0.9670826,0.0002477235,0.02260984,0.0001994453,0.0001045217,0.0006644172,0.005175042,0.0005403916,0.003375976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006025624,"threshold_uncertainty_score":0.03186697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927581491563877,"score_gpt":0.254389346547951,"score_spread":0.2351135316323122,"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."}}