{"id":"W4286614538","doi":"","title":"Décodage de turbo codes concaténés en série","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Coding theory and cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Computer science; Programming language; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01881003,0.0006783042,0.0006900776,0.0003576928,0.001418426,0.00134852,0.006024176,0.0004512754,0.002693208],"category_scores_gemma":[0.002088876,0.0008260504,0.0006707645,0.001279681,0.0007396215,0.0004289673,0.006778904,0.001908391,0.0001538561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000412042,"about_ca_system_score_gemma":0.001000665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778828,"about_ca_topic_score_gemma":0.0008417171,"domain_scores_codex":[0.9702564,0.02540602,0.0008743596,0.001660472,0.0008216758,0.0009811091],"domain_scores_gemma":[0.9863344,0.006289484,0.0007700408,0.004581818,0.001522041,0.0005021793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001920079,0.0006828518,0.002050717,0.000142626,0.000145151,0.00004014972,0.03262514,0.0002615025,0.001703856,0.8930585,0.002056764,0.06721348],"study_design_scores_gemma":[0.001186884,0.000004365586,0.01266239,0.002452186,0.0002228091,0.000157184,0.001100059,0.0662988,0.04122755,0.2435318,0.6290243,0.002131629],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08136879,0.004068526,0.6711494,0.03885509,0.001572762,0.0007853755,0.0001970424,0.0007989632,0.201204],"genre_scores_gemma":[0.8141177,0.001612667,0.1350602,0.0007861538,0.0001048615,0.0002449995,0.0003728154,0.0000962493,0.04760434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7327489,"threshold_uncertainty_score":0.9998816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739885084409329,"score_gpt":0.2391581240393218,"score_spread":0.2217592731952285,"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."}}