{"id":"W4223519022","doi":"10.1109/mcg.2022.3152848","title":"The New Test of Time Award","year":2022,"lang":"en","type":"article","venue":"IEEE Computer Graphics and Applications","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Test (biology); Selection (genetic algorithm); Computer graphics (images); Operations research; Artificial intelligence; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.008708223,0.0006652717,0.001052414,0.001521305,0.00301588,0.01352907,0.001354913,0.005705729,0.07484633],"category_scores_gemma":[0.0266052,0.0003686694,0.0008789846,0.0009523773,0.001551851,0.003864564,0.002848311,0.007663168,0.04209683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075162,"about_ca_system_score_gemma":0.008060463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002962251,"about_ca_topic_score_gemma":0.007924768,"domain_scores_codex":[0.9900839,0.001164061,0.0003750324,0.0006061153,0.006221083,0.001549736],"domain_scores_gemma":[0.9790399,0.001915727,0.0006434951,0.0007846043,0.009592225,0.008024012],"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":[0.00002409376,0.000009510322,0.0001318265,0.00001912603,0.000002836675,0.00004501946,0.00001711287,0.0000196611,0.00006235818,0.006360076,0.976967,0.01634136],"study_design_scores_gemma":[0.00001111361,0.00002463976,0.0003070338,0.00003483729,0.000003309089,0.00006047717,0.00007241359,0.00007872513,0.00008529778,0.001716639,0.9975937,0.00001170871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001336183,0.008492523,0.0041493,0.2320426,0.5456865,0.0001147498,0.0003335493,0.0004762902,0.2073683],"genre_scores_gemma":[0.02263124,0.005747763,0.001910969,0.05296635,0.096582,0.0001660116,0.0004686333,0.0006324953,0.8188945],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07484633,"threshold_uncertainty_score":0.2503859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006147477834539641,"score_gpt":0.1881712420446791,"score_spread":0.1820237642101394,"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."}}