{"id":"W1528455415","doi":"10.1007/978-3-540-93900-9_24","title":"A Scalable Memory Model for Low-Level Code","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Code (set theory); Scalability; Parallel computing; Programming language; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000797305,0.000585886,0.0006377424,0.0008340642,0.000491432,0.0003902563,0.003952204,0.0004145498,0.000004693959],"category_scores_gemma":[0.0001128836,0.0005706756,0.0002127875,0.0004900916,0.0005693255,0.0005417463,0.001209232,0.0005932281,0.00002003973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002905739,"about_ca_system_score_gemma":0.001032889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009887622,"about_ca_topic_score_gemma":0.0000212267,"domain_scores_codex":[0.9959832,0.00002380658,0.0006234728,0.001735098,0.0008357345,0.000798683],"domain_scores_gemma":[0.9970288,0.0004080352,0.0003380586,0.001535409,0.0004878693,0.0002018761],"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":[0.000005608471,0.00003173937,0.00000180084,0.00003665735,0.000006882206,0.00001591742,0.0005252354,0.8146219,0.00002457943,0.003628379,0.0009920902,0.1801092],"study_design_scores_gemma":[0.0002782138,0.00008594902,0.000002933188,0.0002473234,0.000004285964,0.000051275,2.698577e-8,0.9217396,0.001264201,0.07503738,0.0006671209,0.0006217086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00000997001,0.000389904,0.9940109,0.0004875478,0.0007323009,0.0006707748,0.00002262197,0.0006286591,0.003047344],"genre_scores_gemma":[0.01062332,0.0001363089,0.9839284,0.001904444,0.0002573357,0.00003283352,0.00001002273,0.00005086805,0.003056407],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1794875,"threshold_uncertainty_score":0.9996745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.040442354558481,"score_gpt":0.2669634256745472,"score_spread":0.2265210711160662,"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."}}