{"id":"W1648669097","doi":"10.1017/cbo9781139021128.016","title":"Baseband binary data formats and analysis","year":2013,"lang":"en","type":"other","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Baseband; Binary number; Content (measure theory); Information retrieval; Binary data; Database; Telecommunications; Arithmetic; Mathematics","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":[0.001312421,0.001884386,0.001046814,0.006118798,0.001157129,0.004020616,0.002069286,0.001041632,0.2093024],"category_scores_gemma":[0.006844043,0.0005804772,0.0005646368,0.006538475,0.0004303991,0.002479841,0.001336008,0.001576876,0.2726904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006807953,"about_ca_system_score_gemma":0.0009423322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642098,"about_ca_topic_score_gemma":0.001104795,"domain_scores_codex":[0.9982868,0.0001327273,0.000197121,0.0001926157,0.00103051,0.0001603503],"domain_scores_gemma":[0.9962673,0.0003919295,0.0001700844,0.001062106,0.001985489,0.0001230956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007056181,0.0001204097,0.0006887073,0.001106299,0.00004001321,0.0002815264,0.0002125046,0.001242966,0.03210455,0.01520413,0.5614501,0.3868431],"study_design_scores_gemma":[0.00005757109,0.000110948,0.00147558,0.0002873073,0.00003252153,0.000714443,0.0001796278,0.005112077,0.05758012,0.0115005,0.9228351,0.0001142103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007663609,0.00327551,0.4691096,0.001467355,0.004135319,0.00168692,0.1645108,0.1114951,0.2366558],"genre_scores_gemma":[0.05003072,0.006815903,0.2599581,0.001378429,0.00159066,0.002616609,0.3538483,0.0391145,0.2846467],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2093024,"threshold_uncertainty_score":0.7001861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492613733110437,"score_gpt":0.2604224371603354,"score_spread":0.235496299829231,"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."}}