{"id":"W1986033055","doi":"10.1145/1294325.1294348","title":"The potential of trace-level parallelism in Java programs","year":2007,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"TRACE (psycholinguistics); Java; Computer science; Parallelism (grammar); Parallel computing; Task parallelism; Programming language","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":[0.001185283,0.0004575915,0.0003480013,0.0004924837,0.0004573188,0.0008178318,0.0008874324,0.0003862939,0.0005614646],"category_scores_gemma":[0.00807405,0.0003945327,0.0003226521,0.0005677698,0.0009530244,0.002098134,0.0007004233,0.0007607061,0.00008168835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005089258,"about_ca_system_score_gemma":0.0006151918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001268703,"about_ca_topic_score_gemma":0.001051843,"domain_scores_codex":[0.9989551,0.000421788,0.00004491295,0.0001426661,0.0003390655,0.00009642487],"domain_scores_gemma":[0.9940843,0.003554113,0.0005891059,0.001048874,0.0005001218,0.000223518],"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":[0.00187033,0.0007245837,0.0337938,0.0002737672,0.0001740522,0.0005177897,0.001137066,0.5057144,0.2982547,0.04039142,0.0007599316,0.1163881],"study_design_scores_gemma":[0.0000565166,0.0004541983,0.003137341,0.00001294674,0.0000354512,0.0001796795,0.0000791164,0.878315,0.08659852,0.02997372,0.001123415,0.00003405364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7526258,0.0002057981,0.243259,0.0002123726,0.00001383907,0.00004138172,0.00005784378,0.001931382,0.001652563],"genre_scores_gemma":[0.9716979,0.00006224092,0.02785004,0.00001996794,0.000004421739,0.00002255384,0.00005446012,0.00007369825,0.0002146394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001268703,"threshold_uncertainty_score":0.006268442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479386305091536,"score_gpt":0.2700411085173127,"score_spread":0.2452472454663973,"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."}}