{"id":"W2151056818","doi":"10.1109/iwoos.1995.470575","title":"(De-)clustering objects for multiprocessor system software","year":2002,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Object (grammar); Software; Multiprocessing; Asynchronous communication; Cluster analysis; Object-oriented programming; Software system; Operating system; Distributed computing; Programming language; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001867347,0.0001204538,0.0001659034,0.0000395533,0.0001504158,0.0002527909,0.0006001257,0.00006955606,0.00001036794],"category_scores_gemma":[0.00004868645,0.0001039361,0.00006855283,0.0001954002,0.00001051748,0.0003400088,0.00008593218,0.00005504886,0.00007387499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007243583,"about_ca_system_score_gemma":0.00001640772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002617523,"about_ca_topic_score_gemma":0.000009920101,"domain_scores_codex":[0.9989266,0.00001595202,0.0002088707,0.0003199471,0.0001700731,0.0003585756],"domain_scores_gemma":[0.9992864,0.00006506873,0.00006728064,0.0003642155,0.0001150957,0.0001019532],"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":[0.00003546536,0.0005640726,0.002191173,0.00613609,0.000179223,0.0001951913,0.01068064,0.01197306,0.003040983,0.1943847,0.08357841,0.687041],"study_design_scores_gemma":[0.000472121,0.00003978582,0.00008543895,0.00009793429,0.000002590105,0.00005507363,0.0001429229,0.9810489,0.0004806573,0.00003932733,0.01734659,0.0001886161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004529046,0.0002597646,0.9903265,0.0001283322,0.0003834177,0.0002724234,0.00001247465,0.0006459164,0.007518265],"genre_scores_gemma":[0.8904907,0.000001608586,0.1062089,0.0001807778,0.00009425128,0.00009818817,0.00000147704,0.00000816699,0.002915933],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9690759,"threshold_uncertainty_score":0.4238392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181555781887816,"score_gpt":0.2277765936825284,"score_spread":0.2059610358636502,"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."}}