{"id":"W4232398604","doi":"10.1017/9781108989817.022","title":"Post Moore’s Law Computing","year":2021,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Law in Society and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Content (measure theory); Computer science; Internet privacy; Computer security; Law; Political science; Mathematics","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":[0.0005277822,0.0005884646,0.0004845975,0.001171434,0.00240376,0.006358441,0.0006702234,0.002000877,0.3465346],"category_scores_gemma":[0.003333197,0.0004296641,0.0003083595,0.001730674,0.002135689,0.006826205,0.001838774,0.003799268,0.1710561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002752508,"about_ca_system_score_gemma":0.001644773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006852495,"about_ca_topic_score_gemma":0.01175144,"domain_scores_codex":[0.9993582,0.00008409918,0.00002524783,0.0001277189,0.0003365764,0.00006816096],"domain_scores_gemma":[0.9992175,0.0002370245,0.00003040213,0.0001677354,0.0002640507,0.00008323246],"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":[0.000008046078,0.00000667972,0.00004894584,0.00005736352,0.000002037981,0.00004192656,0.0001794089,0.00006097505,0.0001068077,0.1264908,0.8202126,0.05278443],"study_design_scores_gemma":[9.107368e-7,0.000002183049,0.00005439176,0.00003456833,4.777891e-7,0.00002378472,0.00003660924,0.00004697757,0.00006931144,0.008641396,0.9910869,0.000002519846],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003643825,0.006564568,0.002531436,0.01797013,0.002826759,0.00002923559,0.0004801911,0.0005963541,0.9686369],"genre_scores_gemma":[0.003642172,0.002627779,0.000435613,0.001686219,0.000400809,0.0000176446,0.0001369699,0.0002355513,0.9908173],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3465346,"threshold_uncertainty_score":0.9320891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162888802200187,"score_gpt":0.2234367984560396,"score_spread":0.2018079104340377,"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."}}