{"id":"W4293160491","doi":"10.1007/978-3-031-01759-9_1","title":"Introduction","year":2018,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on computer architecture","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Rendering (computer graphics); Graphics; Software rendering; Graphics pipeline; General-purpose computing on graphics processing units; Computer graphics (images); Graphics processing unit; Real-time computer graphics; Central processing unit; Computer graphics; 3D computer graphics; Parallel computing; 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":[0.0003211963,0.000885837,0.0007303312,0.0008115675,0.0003427763,0.0003962347,0.00220199,0.0006421302,0.0006931887],"category_scores_gemma":[0.00007390486,0.0007594751,0.0004211108,0.0001459228,0.0001825917,0.00009811719,0.0005877268,0.001064132,0.0006647293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001344708,"about_ca_system_score_gemma":0.000113524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002038998,"about_ca_topic_score_gemma":0.000003819659,"domain_scores_codex":[0.9964795,0.0001420098,0.0005247861,0.001626832,0.0007025926,0.0005243552],"domain_scores_gemma":[0.9966744,0.0004692706,0.0003994943,0.00206333,0.0002095158,0.0001839956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000418782,0.00004699451,2.751065e-7,0.00005819036,0.0002143196,0.0000362578,0.0003899552,0.0170086,0.0000195291,0.08312383,0.4842209,0.4148393],"study_design_scores_gemma":[0.0001134766,0.0004282155,0.000006846024,0.0002922409,0.00003938341,0.0001319762,2.12898e-7,0.01753431,0.002291223,0.1084488,0.8696749,0.001038348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000003549688,0.0001757201,0.8595979,0.004045225,0.001386961,0.0003441035,0.00001128768,0.001793468,0.1326418],"genre_scores_gemma":[0.001316132,0.0001402823,0.8099598,0.005114922,0.01973864,0.00006060928,0.00005994681,0.0002952086,0.1633144],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.413801,"threshold_uncertainty_score":0.9994856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009817182413005186,"score_gpt":0.2177219995527956,"score_spread":0.2079048171397904,"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."}}