{"id":"W7143897696","doi":"10.71465/ajainn644","title":"Deep Learning Techniques for Real-Time Video Processing and Analysis","year":2024,"lang":"","type":"article","venue":"American Journal of Artificial Intelligence and Neural Networks","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deep learning; Convolutional neural network; Video processing; Video tracking; Artificial neural network; Event (particle physics); Object (grammar); Image processing","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009213036,0.0002760165,0.0006335358,0.0006672608,0.000461709,0.001407245,0.0002507726,0.00008984323,0.00003740694],"category_scores_gemma":[0.00005840998,0.0002425733,0.0003091918,0.001749654,0.0004964769,0.001103878,0.0000837539,0.000623836,0.000002413988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003277207,"about_ca_system_score_gemma":0.00005645466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002837581,"about_ca_topic_score_gemma":0.00001169055,"domain_scores_codex":[0.9976626,0.0001963856,0.0009999388,0.0004786156,0.0002489501,0.0004135121],"domain_scores_gemma":[0.9980857,0.0005365623,0.0006750274,0.0001138473,0.0003486887,0.0002401885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000111083,0.00003215663,0.00006148034,0.00003668665,0.0002409101,0.00004311586,0.001172269,0.009594432,0.0005754112,0.0002754618,0.00001639868,0.9878406],"study_design_scores_gemma":[0.0000148106,0.00192909,0.00006147659,0.0002811469,0.0006827627,0.0001705851,0.0006916443,0.991614,0.002011124,0.002039789,0.000235568,0.0002680027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06368725,0.003473509,0.9315797,0.0007266403,0.0002740263,0.0001557394,0.000001322485,0.0000653809,0.00003640393],"genre_scores_gemma":[0.9834049,0.007123791,0.008296321,0.000162815,0.0009346473,0.000006014281,0.000002805186,0.00002195381,0.00004669959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9875726,"threshold_uncertainty_score":0.9996294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626031957753349,"score_gpt":0.3058422329717316,"score_spread":0.2795819133941981,"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."}}