{"id":"W2058147415","doi":"10.1109/mm.2014.31","title":"Hot Chips 25","year":2014,"lang":"nl","type":"article","venue":"IEEE Micro","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer science; Computer architecture; Operating system; Parallel computing; Embedded system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001002557,0.001301594,0.001039028,0.002431531,0.001324545,0.005419004,0.00190397,0.001978362,0.3316106],"category_scores_gemma":[0.002286186,0.0008292759,0.0007774571,0.001619088,0.0005288198,0.002573859,0.001799131,0.002272717,0.2212281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000846928,"about_ca_system_score_gemma":0.001063044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005102314,"about_ca_topic_score_gemma":0.001605422,"domain_scores_codex":[0.9984133,0.00008320728,0.00006697323,0.0001962765,0.001073082,0.0001670496],"domain_scores_gemma":[0.9974809,0.0003587891,0.000111687,0.0002107066,0.001439598,0.000398282],"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":[0.00005229823,0.00003530275,0.00008800528,0.0002848482,0.00001394553,0.00007785459,0.00003111042,0.0001291964,0.004897402,0.002938545,0.8911548,0.1002967],"study_design_scores_gemma":[0.000004222004,0.0000393705,0.000169325,0.00006365773,0.000008275407,0.0001068572,0.0000184671,0.0001230623,0.001853812,0.0006418881,0.99696,0.00001109826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002762263,0.05279184,0.02827404,0.009943878,0.2560741,0.0004595995,0.002216816,0.008737301,0.6387401],"genre_scores_gemma":[0.004451778,0.01401231,0.002711311,0.002957865,0.02285347,0.0001171086,0.001139009,0.001635058,0.9501221],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3316106,"threshold_uncertainty_score":0.9533764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717269831045461,"score_gpt":0.2292908778665438,"score_spread":0.2121181795560892,"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."}}