{"id":"W2393540806","doi":"10.1145/2902961.2903016","title":"8T1R","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Arizona State University","keywords":"Computer science","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":[0.000008538388,0.00002204588,0.00001955543,0.000006131898,0.000008097062,0.000001190665,0.00002107301,0.000006507699,0.0001143939],"category_scores_gemma":[0.000003482313,0.00001233813,0.000007292553,0.00001635685,0.000003076773,0.00004139145,0.000004799243,0.00001104349,0.0001508192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000430375,"about_ca_system_score_gemma":3.537089e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.470586e-8,"about_ca_topic_score_gemma":1.839158e-7,"domain_scores_codex":[0.9998752,9.433022e-7,0.00002580655,0.00002677732,0.00001424615,0.00005695319],"domain_scores_gemma":[0.9999241,0.00001895126,0.000001268856,0.00003921727,0.000002007654,0.00001445579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[9.750279e-7,0.000001269693,0.0001382701,0.000004837079,0.000002803597,0.000003804439,0.00001007535,0.001162463,0.6844395,0.002210111,0.001301247,0.3107246],"study_design_scores_gemma":[0.0001341507,0.000008117874,0.0004828798,0.00001225256,7.256198e-7,0.000005498476,0.000003559031,0.000614797,0.9532024,0.001532936,0.04391083,0.00009188339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6688608,0.00004147735,0.2373212,0.00009821283,0.0002517371,0.0000222629,3.001974e-7,0.0008187382,0.09258525],"genre_scores_gemma":[0.9973493,0.000005936889,0.0006204089,0.00002964486,0.00004084966,4.096518e-7,2.691643e-8,0.000004132464,0.001949357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3284884,"threshold_uncertainty_score":0.1938526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007738636599890636,"score_gpt":0.1832034186769237,"score_spread":0.1754647820770331,"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."}}