{"id":"W7017278145","doi":"","title":"Adaptation des taux et des puissances de transmission pour
\\nles schémas IncrementaI Redundancy HARQ tronqués.","year":2013,"lang":"fr","type":"dissertation","venue":"EspaceINRS (National Institute for Scientific Research (Canada))","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Redundancy (engineering); Domain (mathematical analysis); Social impact","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":[0.01002195,0.00158304,0.0008058578,0.001820189,0.001726184,0.0102336,0.004115568,0.002954582,0.01885231],"category_scores_gemma":[0.03368765,0.00121616,0.001875812,0.001817864,0.001644567,0.01319763,0.005049581,0.004159243,0.01172133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003334868,"about_ca_system_score_gemma":0.00501988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01748822,"about_ca_topic_score_gemma":0.01420451,"domain_scores_codex":[0.9915159,0.002150347,0.0008044688,0.001825107,0.00316564,0.0005385459],"domain_scores_gemma":[0.9720579,0.005933879,0.001190651,0.01124352,0.00873914,0.0008348051],"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":[0.001049572,0.0009838014,0.027608,0.001215448,0.0003347273,0.0009694352,0.008684854,0.01391855,0.07297757,0.07007956,0.05810109,0.7440774],"study_design_scores_gemma":[0.0001720391,0.0006722504,0.01853034,0.001228263,0.0004734694,0.001381814,0.007420925,0.08957293,0.09833574,0.03156859,0.7502121,0.0004314805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1264212,0.002637017,0.7064977,0.00705516,0.001924574,0.002054913,0.005162467,0.05274579,0.09550123],"genre_scores_gemma":[0.3055003,0.002930011,0.564522,0.002148826,0.0002445789,0.001071404,0.01264331,0.01324714,0.0976925],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01885231,"threshold_uncertainty_score":0.06306732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0995344051587401,"score_gpt":0.332528745531676,"score_spread":0.2329943403729359,"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."}}