{"id":"W6925149087","doi":"10.17182/hepdata.53817.v1/t12","title":"Table 12","year":2007,"lang":"en","type":"dataset","venue":"HEPData","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; McGill University","funders":"","keywords":"Table (database); Cover (algebra); Energy (signal processing); Diagram","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":[0.0007805876,0.002296726,0.001177023,0.003861206,0.0007732895,0.002263705,0.001732396,0.001291866,0.09871397],"category_scores_gemma":[0.004866313,0.0005686632,0.001170789,0.005552089,0.0002880053,0.001039831,0.001152977,0.001565703,0.1491781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372096,"about_ca_system_score_gemma":0.001913608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775762,"about_ca_topic_score_gemma":0.02811913,"domain_scores_codex":[0.9987209,0.0001582112,0.0001504382,0.0004340453,0.0003712014,0.0001651158],"domain_scores_gemma":[0.9975076,0.0005452291,0.0002619769,0.0005645446,0.0009671096,0.0001535607],"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":[0.00009642518,0.00002817532,0.002367905,0.0008570425,0.00006016075,0.0000338169,0.00001889121,0.0004722424,0.0004417523,0.0005182829,0.9901008,0.005004582],"study_design_scores_gemma":[0.0001094095,0.00002198519,0.008733799,0.0002269899,0.00004084235,0.00006371777,0.00005656819,0.0004021239,0.0007831936,0.0007794363,0.9887608,0.00002114283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001318295,0.00004428672,0.00005740729,0.0000202142,0.00001264128,0.000006826258,0.9987092,0.0002230219,0.0007946597],"genre_scores_gemma":[0.0002471456,0.00003336316,0.0001554952,0.00002022144,0.00000328066,0.00002542867,0.9989177,0.00003655584,0.0005607154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.901286,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02244767833394731,"score_gpt":0.2276632216552681,"score_spread":0.2052155433213208,"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."}}