{"id":"W2071505862","doi":"10.1145/1723028.1723033","title":"Parallel catastrophe modelling on a cell processor","year":2009,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Carleton University","funders":"","keywords":"Computer science; Speedup; Parallel computing; Computation; Code (set theory); Vectorization (mathematics); Algorithm; Programming language","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":[0.0002325573,0.0004321791,0.0004746565,0.0002112677,0.0003678414,0.0004901158,0.0009390622,0.000308709,0.00292006],"category_scores_gemma":[0.0008488881,0.0001892789,0.0004008645,0.0005251995,0.0004147235,0.0007718207,0.0003683813,0.0005791421,0.000493772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004906885,"about_ca_system_score_gemma":0.0008513745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009885104,"about_ca_topic_score_gemma":0.006105714,"domain_scores_codex":[0.9998281,0.00003581059,0.000009569424,0.00003413852,0.00005997889,0.00003241852],"domain_scores_gemma":[0.9995421,0.0001985291,0.00002593795,0.00008856481,0.0001191802,0.0000256421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003657127,0.0001049308,0.005439892,0.0001557197,0.00007656819,0.0003452728,0.0004439826,0.865269,0.0482393,0.01722054,0.003074177,0.05926487],"study_design_scores_gemma":[0.00003149149,0.00007685686,0.0006421526,0.000003339462,0.0000169187,0.00003242839,0.00004221598,0.9813545,0.01313449,0.001901783,0.00275278,0.00001089968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.641535,0.0002134635,0.3443943,0.0001718242,0.0000772502,0.0001141935,0.0002939613,0.002363475,0.01083658],"genre_scores_gemma":[0.8415383,0.0002468982,0.1534057,0.00004575804,0.00002021202,0.0001272007,0.0005639045,0.0002017596,0.003850416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009885104,"threshold_uncertainty_score":0.01965511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996749643461655,"score_gpt":0.2439750325551649,"score_spread":0.2240075361205484,"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."}}