{"id":"W4230823926","doi":"10.1145/3140659.3080218","title":"Fractal","year":2017,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; Kwanjeong Educational Foundation; Massachusetts Institute of Technology; National Science Foundation","keywords":"Computer science; Parallel computing; Parallelism (grammar); Fractal; Data parallelism; Exploit; Task parallelism; Range (aeronautics); Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000432313,0.0006810591,0.0004433011,0.0006175466,0.000733374,0.001674084,0.001695035,0.0008891209,0.03315633],"category_scores_gemma":[0.002199183,0.0004935975,0.0007346478,0.0005759866,0.000565245,0.002293178,0.001588307,0.001065896,0.01200629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000704053,"about_ca_system_score_gemma":0.0009714558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028684,"about_ca_topic_score_gemma":0.002551497,"domain_scores_codex":[0.9993849,0.00005272774,0.00004770861,0.0001102383,0.0003296858,0.00007487058],"domain_scores_gemma":[0.9990977,0.0001385717,0.00005877308,0.0003646654,0.0002770437,0.00006328359],"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":[0.0006570676,0.000153176,0.002878539,0.0007049605,0.00009778987,0.0003636777,0.0004792977,0.02939283,0.03528316,0.2445658,0.2516434,0.4337803],"study_design_scores_gemma":[0.0001526798,0.0002048548,0.0009577984,0.00009526687,0.0000511458,0.0006350304,0.00007527804,0.09272982,0.01923711,0.04634081,0.8394391,0.00008125854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04100069,0.003377228,0.5696348,0.002029249,0.001393726,0.0005771442,0.004684972,0.07146613,0.3058361],"genre_scores_gemma":[0.3269939,0.002652456,0.466521,0.001508376,0.0003354213,0.0008274441,0.01484785,0.007680639,0.1786329],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03315633,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936470364595629,"score_gpt":0.2836248710587225,"score_spread":0.2642601674127662,"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."}}