{"id":"W1965473444","doi":"10.1109/hpcc.2012.165","title":"Speculative Versioning through Perceptron Predictors","year":2012,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transactional memory; Software versioning; Benchmark (surveying); Software transactional memory; Database transaction; Suite; Software; Distributed computing; Parallel computing; Operating system; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001221678,0.0000837207,0.00009414965,0.00001593495,0.00009916264,0.00005785483,0.0003092023,0.00003680725,0.0001173477],"category_scores_gemma":[0.000009991703,0.00006545727,0.00004511569,0.0001747663,0.00002018039,0.00121708,0.0001138042,0.0000644554,0.0003073653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004156979,"about_ca_system_score_gemma":0.00001235898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004512879,"about_ca_topic_score_gemma":9.476366e-7,"domain_scores_codex":[0.9992172,0.00002887911,0.0001167206,0.000159078,0.0001916191,0.0002864769],"domain_scores_gemma":[0.9995605,0.00002258246,0.00003680828,0.0002678715,0.00003081613,0.00008139866],"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":[0.000004970732,0.0001558991,0.06019219,0.00001673981,0.00004595838,0.000005167829,0.01549976,0.0001612469,0.0008807091,0.8815435,0.03597805,0.005515802],"study_design_scores_gemma":[0.001248904,0.0001750077,0.3066278,0.0001122972,0.00001834326,0.00005897304,0.00249631,0.03653804,0.003757183,0.001596422,0.6463928,0.000977973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05460033,0.0001471107,0.8288938,0.000185687,0.0008284747,0.00008235649,0.000002607967,0.0001861949,0.1150734],"genre_scores_gemma":[0.9796167,0.000002809353,0.01881758,0.0001455688,0.0001518661,0.000003561047,0.000002894604,0.000003548027,0.001255494],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9250163,"threshold_uncertainty_score":0.3950662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698151236824669,"score_gpt":0.2492942499213226,"score_spread":0.2323127375530759,"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."}}