{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005215657,0.00004579323,0.00005932177,0.00003695056,0.0001767374,0.0000168864,0.0001720583,0.00001597077,0.0000019203],"category_scores_gemma":[6.264108e-7,0.00003725887,0.00002326945,0.0001751836,0.00003722456,0.00001200344,0.00005207634,0.00008410375,0.000003019882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000451241,"about_ca_system_score_gemma":0.000006311517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009859273,"about_ca_topic_score_gemma":0.000003159831,"domain_scores_codex":[0.9997078,0.000003375401,0.00009746774,0.00006566702,0.00005599807,0.00006971113],"domain_scores_gemma":[0.9996749,0.00007976829,0.0000199845,0.0001955655,0.0000104295,0.0000193788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001617578,0.00009456605,0.001784715,0.00006908237,0.0001475756,0.000001380518,0.000245939,0.007685317,0.005767332,0.5532693,0.2576702,0.173263],"study_design_scores_gemma":[0.00008028632,0.00003079267,0.00071839,0.000002891472,0.000006080497,0.000008368255,0.00001365657,0.05453261,0.0004379033,0.009761997,0.9343234,0.00008366063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0438989,0.00566669,0.9429074,0.002060097,0.0007632998,0.0009776247,0.0001483436,0.001259292,0.002318366],"genre_scores_gemma":[0.9987839,0.0002811911,0.0005138677,0.00002595348,0.00008550657,0.0001527121,0.000003169022,0.00001068397,0.0001430309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.954885,"threshold_uncertainty_score":0.1519372,"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."}}