{"id":"W2375623099","doi":"","title":"Design of a High-Definition Advertisement Player Based on EM8623L","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Multimedia; Software; High definition; Computer hardware; Operating system","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":[0.0002058786,0.0002887479,0.0002795036,0.0002716996,0.000251223,0.000572846,0.001156398,0.0003729033,0.004240473],"category_scores_gemma":[0.0002346585,0.0001988289,0.0001720514,0.000166665,0.00014316,0.0003784486,0.0002598022,0.0002674951,0.001818501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000450389,"about_ca_system_score_gemma":0.0006221739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001082072,"about_ca_topic_score_gemma":0.0008926356,"domain_scores_codex":[0.9997941,0.00003065781,0.00001035694,0.00004142614,0.00009059162,0.00003289677],"domain_scores_gemma":[0.999841,0.0000197704,0.00001789631,0.00001376687,0.00008921096,0.00001841596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007144859,0.0001846585,0.004521043,0.0005336502,0.0001109429,0.0007893434,0.0004020398,0.01217252,0.7014145,0.01373157,0.01428077,0.2511444],"study_design_scores_gemma":[0.0003138769,0.002307425,0.005579079,0.00005554022,0.0002186709,0.002672242,0.0001129483,0.1704894,0.6847885,0.0008814934,0.1324616,0.0001192247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1670314,0.0007080699,0.7841476,0.0004068477,0.0002092705,0.0005080861,0.0003915648,0.005875634,0.04072158],"genre_scores_gemma":[0.7582755,0.0002940843,0.2095515,0.0005298906,0.00007445947,0.0002705668,0.000548975,0.0001892808,0.03026568],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004240473,"threshold_uncertainty_score":0.01418585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614570305669467,"score_gpt":0.2206107283315117,"score_spread":0.204465025274817,"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."}}