{"id":"W4413747758","doi":"10.64628/aam.wsvv3km5v","title":"How to make computers faster and climate friendly","year":2018,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Climate simulation; Climate change; Climate model; Geology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004888731,0.00006342696,0.00006584155,0.00002714205,0.00002938564,0.00006343602,0.00004450133,0.00002401493,0.00003434697],"category_scores_gemma":[0.000005086626,0.0000541638,0.00001204333,0.0000512502,0.00002622333,0.00005199629,0.00004570112,0.00002934388,0.00002710762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001494322,"about_ca_system_score_gemma":0.000001632349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005981015,"about_ca_topic_score_gemma":0.0001016364,"domain_scores_codex":[0.9996286,0.000004313342,0.00004876782,0.00009465167,0.00004172604,0.0001819104],"domain_scores_gemma":[0.9997684,0.000009800503,0.000002622854,0.0001188791,0.00002819763,0.00007210904],"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":[0.0000865922,0.00007057868,0.2190709,0.000973823,0.0001407633,0.00005460252,0.009873684,0.0005905653,0.004058177,0.02237444,0.09774105,0.6449649],"study_design_scores_gemma":[0.001155156,0.0007141622,0.2965007,0.00003795345,0.00002435645,0.00002430954,0.00385615,0.115901,0.005998668,0.001102913,0.5735656,0.001119102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494607,0.00001090709,0.03556973,0.0007377366,0.0002382703,0.0001042013,0.000002276837,0.0001983036,0.01367783],"genre_scores_gemma":[0.9946929,0.000001018617,0.004649732,0.0001338239,0.00007142078,0.000002511811,5.496815e-7,0.000008128929,0.0004399646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6438457,"threshold_uncertainty_score":0.2208736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005780893362849778,"score_gpt":0.198009925423211,"score_spread":0.1922290320603612,"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."}}