{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0003096074,0.0002934287,0.0002976554,0.0001934515,0.0009726312,0.001174629,0.007483634,0.0001141806,0.00001319597],"category_scores_gemma":[0.0002641869,0.0002571842,0.0001634341,0.0001287507,0.0001451412,0.0004810294,0.003866368,0.0004857928,0.00007592085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002986956,"about_ca_system_score_gemma":0.00008591081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009140032,"about_ca_topic_score_gemma":0.00002056211,"domain_scores_codex":[0.997869,0.0001291473,0.0003037863,0.0007363533,0.0004299699,0.0005317093],"domain_scores_gemma":[0.9949947,0.0002599659,0.0002511953,0.004166307,0.0001099627,0.0002178865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008945956,0.00007517191,0.002121382,0.00001392522,0.00003766109,0.00007083808,0.0008788205,0.005541038,0.0001903823,0.007338078,0.01656341,0.9671603],"study_design_scores_gemma":[0.001950157,0.0008052838,0.04433656,0.0001887582,0.0000189992,0.0003845685,0.00000529946,0.5636173,0.005051274,0.1661521,0.2157629,0.001726765],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004600847,0.00004962386,0.9792382,0.008537106,0.0006826131,0.0002281655,0.000001571287,0.001004123,0.005657742],"genre_scores_gemma":[0.2923937,0.00001449976,0.705326,0.001494442,0.0005550983,0.00001289489,0.000003570258,0.00001851103,0.000181232],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9654336,"threshold_uncertainty_score":0.999988,"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."}}