{"id":"W4238782555","doi":"10.1109/icppw.2004.1328061","title":"Trellis-SDP: A simple data-parallel programming interface","year":2005,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Trellis (graph); Computer science; Simple (philosophy); Interface (matter); Parallel computing; Distributed computing; Theoretical computer science; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004686645,0.0001868391,0.000209224,0.00006089506,0.0001298465,0.0005035481,0.003008218,0.00006217576,0.00004706344],"category_scores_gemma":[0.00002941361,0.0001575445,0.00005292618,0.0003566233,0.00002790273,0.0007967093,0.001038292,0.0001452735,0.0007554921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003577785,"about_ca_system_score_gemma":0.00005608349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001098402,"about_ca_topic_score_gemma":0.00007313014,"domain_scores_codex":[0.9981734,0.00006892326,0.0003575747,0.0006490272,0.0002790247,0.0004720122],"domain_scores_gemma":[0.9979973,0.00007966285,0.00009997175,0.001621242,0.00005674109,0.0001450868],"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":[0.0000120901,0.0003722946,0.0006891191,0.00004490576,0.00008644915,0.00002359336,0.001378526,0.02463301,0.0001200763,0.0498932,0.2190972,0.7036496],"study_design_scores_gemma":[0.0002007783,0.00003278866,0.00004965276,0.00001055097,0.00000274896,0.0000249018,0.00002330968,0.3894734,0.00005660619,0.0001420908,0.6098197,0.0001634588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001916694,0.0003075342,0.9856668,0.001371729,0.0002404165,0.0002044114,0.00001034247,0.000730912,0.009551188],"genre_scores_gemma":[0.7999249,0.000004039834,0.1972121,0.0002418584,0.0002518063,0.00000752891,0.0000637819,0.00001005896,0.002283986],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7980081,"threshold_uncertainty_score":0.9710575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04280518897187652,"score_gpt":0.3038290007778279,"score_spread":0.2610238118059514,"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."}}