{"id":"W2364457675","doi":"","title":"Building H.264 Video Playback Use Ffmpeg on the Windows Platform","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Codec; Computer science; Coding (social sciences); Container (type theory); Operating system; Multimedia","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001204262,0.0002314054,0.0001827517,0.0001630351,0.000954809,0.0002834113,0.002496754,0.0001075143,0.000008802313],"category_scores_gemma":[0.000005386532,0.0001639505,0.000118637,0.0006475765,0.0001354104,0.0004035643,0.0007940537,0.0003582099,0.0003699159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005488328,"about_ca_system_score_gemma":0.00004832684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000155154,"about_ca_topic_score_gemma":0.000001331822,"domain_scores_codex":[0.9984502,0.00002978585,0.0003007436,0.0005938507,0.0002541762,0.0003713039],"domain_scores_gemma":[0.9980925,0.0004677635,0.0001297496,0.001151465,0.00008238463,0.00007615927],"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":[0.000006521244,0.0002369397,0.0003269291,0.000009661824,0.0000488551,0.00001346334,0.0005679961,0.0008014757,0.01821097,0.5932001,0.08861114,0.2979659],"study_design_scores_gemma":[0.0003192241,0.0000623683,0.002214323,0.0000498617,0.000006294669,0.0001600431,0.00001856657,0.01075685,0.06067185,0.0180926,0.9072294,0.0004186073],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04558707,0.00006857017,0.9486786,0.003399456,0.0000383428,0.0006186124,0.000004846421,0.00106815,0.0005363927],"genre_scores_gemma":[0.5012864,0.00005862582,0.4947334,0.00257821,0.0001492153,0.0007225823,0.000003020873,0.00002331022,0.0004451922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8186182,"threshold_uncertainty_score":0.7343715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04919523284149722,"score_gpt":0.2502381268953018,"score_spread":0.2010428940538045,"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."}}