{"id":"W2374889336","doi":"","title":"Research and Implementation of Audio Document Conversion","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"MIDI; Computer science; Data format; Binary number; Function (biology); Multimedia; Speech recognition; Computer hardware; Operating system; Arithmetic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009683652,0.0005197008,0.0005044698,0.001573992,0.0006951748,0.002684769,0.002653336,0.0006844032,0.009229118],"category_scores_gemma":[0.004725567,0.0004159826,0.000428224,0.001722335,0.0004705951,0.0030486,0.0006917333,0.001175956,0.003217967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007634346,"about_ca_system_score_gemma":0.001329209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002502327,"about_ca_topic_score_gemma":0.001040759,"domain_scores_codex":[0.9980715,0.000282588,0.000122465,0.0002632109,0.001091319,0.0001689868],"domain_scores_gemma":[0.9978501,0.0003662979,0.0000868087,0.0003433094,0.001273298,0.00008029694],"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":[0.0003491968,0.0002009417,0.001394129,0.0005457981,0.00002840254,0.0002962374,0.0006434816,0.00240398,0.05167257,0.03689604,0.005802607,0.8997666],"study_design_scores_gemma":[0.0002395172,0.0008850574,0.004492356,0.0006205056,0.0002202244,0.00290514,0.001643877,0.1136497,0.4773928,0.0198128,0.3779434,0.00019455],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0460782,0.00549818,0.846431,0.0008788022,0.0007772729,0.0004134587,0.0002305384,0.006978671,0.0927139],"genre_scores_gemma":[0.405694,0.00798915,0.5157754,0.0005054355,0.0004147259,0.0004582601,0.001215439,0.0009892323,0.06695838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009229118,"threshold_uncertainty_score":0.03087449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03104089990359684,"score_gpt":0.3685848698885333,"score_spread":0.3375439699849365,"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."}}