{"id":"W6949991247","doi":"10.5281/zenodo.4274985","title":"r3d3: Optimized Query Compilation on GPUs","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Code (set theory); Source code; Scripting language; Compiler; Software; Key (lock)","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":[0.002275845,0.003628612,0.001745553,0.001690993,0.001060694,0.003481562,0.005478381,0.001471799,0.05210694],"category_scores_gemma":[0.01019836,0.001720666,0.002728382,0.003184861,0.001033781,0.0032166,0.002842739,0.003326053,0.03470473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651832,"about_ca_system_score_gemma":0.002608878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276568,"about_ca_topic_score_gemma":0.01409586,"domain_scores_codex":[0.9965624,0.0005859591,0.0002505689,0.001023652,0.001127283,0.0004501125],"domain_scores_gemma":[0.9965424,0.0009983715,0.00008658025,0.001460267,0.0007181316,0.0001942704],"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":[0.001389893,0.0002598279,0.002580722,0.001414281,0.0004254675,0.0003340735,0.0004883732,0.04583174,0.01590494,0.02284796,0.7865441,0.1219786],"study_design_scores_gemma":[0.001394575,0.0002608978,0.0029374,0.0001935302,0.0001912118,0.0004483327,0.0003693005,0.5288127,0.06012823,0.05203858,0.3529687,0.0002564767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.0129558,0.0008249376,0.2640451,0.0004299553,0.0006128031,0.0002949375,0.02529145,0.6729027,0.02264231],"genre_scores_gemma":[0.1533984,0.0007564009,0.4273373,0.0009882706,0.0001875226,0.001317826,0.1144533,0.2858603,0.01570088],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05210694,"threshold_uncertainty_score":0.1743151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04134543016024473,"score_gpt":0.2316127941478588,"score_spread":0.1902673639876141,"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."}}