{"id":"W2422465781","doi":"","title":"Externalizing Java server concurrency with CAL","year":2008,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Concurrency; Computer science; Concurrent object-oriented programming; Programming language; Java; Isolation (microbiology); Non-lock concurrency control; Middleware (distributed applications); Operating system; Code (set theory); Distributed computing; Concurrency control; Distributed concurrency control; Programming paradigm; Procedural programming; Inductive programming","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":[0.006236041,0.0009965835,0.001078714,0.001431533,0.002028388,0.005634469,0.004108284,0.001218263,0.008324103],"category_scores_gemma":[0.0173761,0.001274769,0.001081748,0.001517222,0.003304412,0.007035134,0.01327364,0.004699947,0.002196521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149627,"about_ca_system_score_gemma":0.002768845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003417955,"about_ca_topic_score_gemma":0.005554812,"domain_scores_codex":[0.9930374,0.001858475,0.0004842918,0.001082958,0.002377546,0.001159399],"domain_scores_gemma":[0.9806974,0.003601984,0.0006106154,0.01210824,0.001943946,0.001037877],"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":[0.005062592,0.002819215,0.02213209,0.0006104782,0.0002994715,0.001205772,0.004766483,0.04830018,0.08249822,0.3224922,0.03861204,0.4712013],"study_design_scores_gemma":[0.0009303688,0.0004180954,0.002889764,0.0001533696,0.0003486172,0.0005531685,0.0008651211,0.5925095,0.1370233,0.1834218,0.08066607,0.0002208718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1125913,0.000328738,0.7919844,0.000805715,0.0006061075,0.0005690666,0.0001708975,0.04698183,0.04596186],"genre_scores_gemma":[0.77397,0.0001737648,0.1917035,0.0009619542,0.0002354226,0.0003258382,0.0005563447,0.006774639,0.02529852],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008324103,"threshold_uncertainty_score":0.03297979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486149849301625,"score_gpt":0.2186571151743465,"score_spread":0.1937956166813302,"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."}}