{"id":"W3161660208","doi":"10.1007/s002249910005","title":"The Characterization of Data-Accumulating Algorithms","year":2000,"lang":"en","type":"article","venue":"Theory of Computing Systems","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Speedup; Algorithm; Computer science; Parallelism (grammar); Computation; Characterization (materials science); Class (philosophy); Geodetic datum; Unitary state; Parallel algorithm; Parallel computing; Artificial intelligence","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":[0.001166514,0.00007045246,0.000151222,0.00001809215,0.0001933153,0.00006723921,0.001284229,0.00002233526,0.000003293538],"category_scores_gemma":[0.000009734957,0.00004978912,0.00002651233,0.0002384588,0.00006036352,0.0001885632,0.0001762562,0.00005568137,0.000006078756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004998483,"about_ca_system_score_gemma":0.00001510513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001113213,"about_ca_topic_score_gemma":1.681916e-7,"domain_scores_codex":[0.9989235,0.0001863439,0.0004046587,0.0001881789,0.0001631028,0.0001342373],"domain_scores_gemma":[0.9983128,0.0004329541,0.0002863103,0.0008867581,0.00005835927,0.00002284248],"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":[0.000005307883,0.0000272505,0.00005160021,0.0000333086,0.00002385195,3.660817e-7,0.0005271735,0.006871728,0.007976948,0.2708167,0.00004857187,0.7136171],"study_design_scores_gemma":[0.0000788728,0.00001829069,0.001337431,0.00008008291,0.000004809578,0.000007318075,0.00002448564,0.9938008,0.0005089363,0.001520601,0.002548462,0.00006989262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3015073,0.0001211835,0.6968998,0.0001017702,0.0002167228,0.0002072125,0.000007728569,0.00007307716,0.0008652309],"genre_scores_gemma":[0.9970759,0.00001200687,0.002527858,0.00001700588,0.0001428604,0.000001859484,0.00001147708,0.000005646662,0.0002054149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9869291,"threshold_uncertainty_score":0.2386439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04788059028256705,"score_gpt":0.2927200907847261,"score_spread":0.2448395005021591,"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."}}