{"id":"W4255208150","doi":"10.1007/978-1-4939-7131-2_100447","title":"Graphics Processors","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Graphics; Computer graphics (images)","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":[0.0001884629,0.00156516,0.0008021115,0.001363792,0.0006745874,0.001992985,0.001657241,0.001169792,0.224567],"category_scores_gemma":[0.0006416319,0.0006149849,0.0004689388,0.002287416,0.0003942393,0.001866802,0.001660662,0.002221695,0.1486942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005363355,"about_ca_system_score_gemma":0.0005066424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007216635,"about_ca_topic_score_gemma":0.001209824,"domain_scores_codex":[0.9997106,0.00002221603,0.000008196331,0.00006594437,0.0001662284,0.00002668274],"domain_scores_gemma":[0.9998023,0.00002483969,0.000006800028,0.00005810997,0.00008935702,0.00001865582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005609339,0.00002842577,0.00005995625,0.000302681,0.00001493065,0.00004704925,0.00006631819,0.001571793,0.006283379,0.05007923,0.3979614,0.5435287],"study_design_scores_gemma":[0.00000882588,0.00001370879,0.0000865134,0.00005868019,0.000007522527,0.00008541477,0.00000937179,0.002054822,0.002144989,0.01151083,0.9840121,0.000007136341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001439592,0.01150749,0.159976,0.001387335,0.003005657,0.000153382,0.001230437,0.007964977,0.8133351],"genre_scores_gemma":[0.007096917,0.006653424,0.04736119,0.0005804916,0.0004875386,0.0001457147,0.002048461,0.00119478,0.9344314],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.224567,"threshold_uncertainty_score":0.7512514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366959762871213,"score_gpt":0.251146550177716,"score_spread":0.2274769525490039,"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."}}