{"id":"W2943381576","doi":"10.22214/ijraset.2019.4506","title":"Improving Video Classification Accuracy using Cloud","year":2019,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Digital Media Forensic Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Cloud computing; Artificial intelligence; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002551474,0.00007391097,0.00008720427,0.002149802,0.0001208368,0.0005174648,0.001472219,0.00007052906,9.604779e-7],"category_scores_gemma":[0.001041434,0.00007118564,0.00001632136,0.001352256,0.0001945266,0.0008135135,0.000444929,0.0004472242,0.000009170038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004796666,"about_ca_system_score_gemma":0.0002411352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006462888,"about_ca_topic_score_gemma":0.000001004403,"domain_scores_codex":[0.9982238,0.000005814607,0.000211868,0.0003250902,0.0008112186,0.0004222446],"domain_scores_gemma":[0.9989536,0.0001837309,0.00006666708,0.0002155208,0.0005002622,0.00008016847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001251073,0.00001639667,0.0001963556,0.000009930664,0.000005307829,0.0000068044,0.0000598755,0.0008431062,0.4562812,0.2664122,0.00001995687,0.2761364],"study_design_scores_gemma":[0.0004232852,0.00008155367,0.0003075594,0.00005494804,5.862372e-7,0.0002519059,0.0001468851,0.9385174,0.02166587,0.03517058,0.003262482,0.0001169603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6580972,0.0000370602,0.3357288,0.002091704,0.003023499,0.0003755087,8.834157e-7,0.0001164852,0.0005288264],"genre_scores_gemma":[0.9651216,0.00001310225,0.03469788,0.00001841329,0.0001061721,0.00002664674,2.426143e-7,0.000006558357,0.000009380409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9376743,"threshold_uncertainty_score":0.4989925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05961510992054689,"score_gpt":0.3669942075107602,"score_spread":0.3073790975902133,"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."}}