{"id":"W2145985499","doi":"","title":"Coloring for Shared Object-Oriented Libraries","year":2008,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Inheritance (genetic algorithm); USable; Programming language; Multiple inheritance; Overhead (engineering); Object-oriented programming; Constant (computer programming); Code (set theory); Variation (astronomy); Theoretical computer science; Parallel computing; Distributed computing; World Wide Web; Set (abstract data type)","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":[0.001296253,0.0004556419,0.0004764979,0.0005258725,0.001109658,0.00156123,0.001603065,0.0004069314,0.003365501],"category_scores_gemma":[0.003437864,0.0003924466,0.0007159219,0.001223897,0.001273059,0.002243049,0.001733289,0.001076856,0.0005137057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448697,"about_ca_system_score_gemma":0.001952157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003085374,"about_ca_topic_score_gemma":0.004951866,"domain_scores_codex":[0.9988948,0.0003311165,0.00006156041,0.0001456179,0.0003616306,0.0002053106],"domain_scores_gemma":[0.9961184,0.00113184,0.0002538183,0.001870187,0.0004360602,0.0001897167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005700626,0.0002982999,0.003069211,0.00038518,0.0000907957,0.000456566,0.0006463865,0.1124672,0.02817483,0.4675105,0.009178991,0.3771521],"study_design_scores_gemma":[0.0001971172,0.0002750874,0.001111406,0.00008992397,0.000164653,0.0003968093,0.000221815,0.5228369,0.05503474,0.3581045,0.06147894,0.00008809558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0403592,0.0002236047,0.9493718,0.0001869314,0.00008047766,0.00007362079,0.00005138961,0.004027223,0.005625849],"genre_scores_gemma":[0.4839121,0.0002281306,0.5052847,0.000145299,0.00006195944,0.0001548539,0.0001911859,0.001016907,0.009004906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003365501,"threshold_uncertainty_score":0.01125866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03273568642041083,"score_gpt":0.2521356130680857,"score_spread":0.2193999266476749,"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."}}