{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002757739,0.0009576702,0.001082413,0.0008592665,0.0003519826,0.001280714,0.001874592,0.0008670362,0.001410478],"category_scores_gemma":[0.009426177,0.0006606634,0.0004751717,0.0009248027,0.0005949269,0.002049667,0.0006464987,0.002075455,0.0004242289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009273987,"about_ca_system_score_gemma":0.00152623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006973774,"about_ca_topic_score_gemma":0.008244589,"domain_scores_codex":[0.9989663,0.0003615551,0.00008198125,0.0001927086,0.000252918,0.0001445886],"domain_scores_gemma":[0.9943456,0.003512189,0.0004895409,0.0005860697,0.0008875809,0.0001790069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006357745,0.0002258947,0.005262403,0.00008725611,0.00007574396,0.00009600022,0.00006778509,0.8117343,0.004567255,0.002576907,0.002756466,0.1719142],"study_design_scores_gemma":[0.000006883603,0.00002301194,0.0001060477,0.000002361236,0.000004993773,0.000004742496,0.000002452012,0.9985405,0.0005808246,0.0006353955,0.00008976572,0.000003035834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2433457,0.001623144,0.7420078,0.0008008591,0.0002901937,0.0001397421,0.0002528478,0.008394992,0.003144625],"genre_scores_gemma":[0.8994538,0.0002364746,0.0976795,0.0001710319,0.00008354569,0.00008602665,0.0003698427,0.0001336113,0.001786235],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006973774,"threshold_uncertainty_score":0.01458454,"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."}}