{"id":"W2512221741","doi":"10.1145/2967413.2967432","title":"A Formal Algebra Implementation for Distributed Image and Video Stream Processing","year":2016,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Scalability; Semantics (computer science); Data stream mining; Stream processing; Theoretical computer science; Algebra over a field; Programming language; Distributed computing; Database; Data mining; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002882779,0.000621288,0.0007361969,0.0009379667,0.001345429,0.003622313,0.002952732,0.001185135,0.01768111],"category_scores_gemma":[0.00457414,0.0006853509,0.00213376,0.001017184,0.00191474,0.004841794,0.002883275,0.002488596,0.004634685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001313633,"about_ca_system_score_gemma":0.002637348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003510638,"about_ca_topic_score_gemma":0.004176903,"domain_scores_codex":[0.998259,0.0003661627,0.0001948451,0.000269294,0.0007343538,0.0001763634],"domain_scores_gemma":[0.9985524,0.0004815834,0.00008638502,0.0003794559,0.0003405209,0.0001595359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000220628,0.0002456036,0.0004588414,0.0002273803,0.000060901,0.0003835559,0.0003146221,0.02993557,0.007433085,0.8820474,0.01163571,0.06703664],"study_design_scores_gemma":[0.0002121536,0.0001098753,0.0001074386,0.00008864979,0.00006152596,0.0003372533,0.000123466,0.3696083,0.0100795,0.5624681,0.05674449,0.00005919377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001460024,0.00006571886,0.9910117,0.000221517,0.00007841116,0.0001049853,0.0002318251,0.003503541,0.003322315],"genre_scores_gemma":[0.116584,0.0003309354,0.8722015,0.0003737003,0.0002012537,0.0006215282,0.00112407,0.000842133,0.007720878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01768111,"threshold_uncertainty_score":0.05914915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340654297553544,"score_gpt":0.2901813016165081,"score_spread":0.2767747586409726,"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."}}