{"id":"W4248718854","doi":"10.1007/978-1-4939-7131-2_100853","title":"Parallel Processing","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","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":[0.0001422132,0.000242477,0.0002221916,0.0001458163,0.0001236947,0.0002297436,0.0010407,0.0002295259,0.0003667448],"category_scores_gemma":[0.000006695641,0.0002156013,0.00008433549,0.00003861605,0.00006438265,0.0001879669,0.0003576025,0.000177902,0.0005589544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003141132,"about_ca_system_score_gemma":0.0001091362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001440263,"about_ca_topic_score_gemma":9.727172e-7,"domain_scores_codex":[0.9988224,0.000007676575,0.0002520696,0.0004829645,0.0002448194,0.0001900929],"domain_scores_gemma":[0.9989558,0.00001829745,0.0001801168,0.0005863818,0.0001871454,0.0000722655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001557243,0.000008221959,6.427806e-7,0.00002310934,0.00001410108,0.00001015296,0.0001287861,0.0001083431,8.012881e-7,0.8061935,0.1385617,0.05494905],"study_design_scores_gemma":[0.00009510098,0.00007467137,0.0000013602,0.0001634361,0.000006875525,0.00002207947,6.138469e-7,0.1184354,0.00004255574,0.233729,0.6469053,0.0005236235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[4.147587e-8,0.0001444487,0.506381,0.0001106266,0.00006399024,0.00005821064,2.467401e-7,0.0008863521,0.4923551],"genre_scores_gemma":[0.00004379179,0.00004048604,0.4486272,0.0003799987,0.0001219026,0.000002302246,0.000003155553,0.00001661678,0.5507646],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5724645,"threshold_uncertainty_score":0.8791966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713477639959001,"score_gpt":0.2608005634580602,"score_spread":0.2336657870584702,"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."}}