{"id":"W2980033125","doi":"10.1109/ccece.2019.8861890","title":"Universal Functions Originator—Part II: Evaluation","year":2019,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003585583,0.00005488895,0.00006637322,0.00004239752,0.00008609927,0.0000429952,0.0002402714,0.00002367909,0.001052225],"category_scores_gemma":[0.00001806021,0.00004382415,0.00003387838,0.0003189235,0.00001066234,0.0003568716,0.000109014,0.00005736119,0.0007474967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004299542,"about_ca_system_score_gemma":0.00006215149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002050467,"about_ca_topic_score_gemma":6.259847e-7,"domain_scores_codex":[0.9992648,0.00006972942,0.00007368909,0.0002143961,0.0002515471,0.0001257816],"domain_scores_gemma":[0.9994859,0.00004708679,0.00002510949,0.0002962176,0.0000897326,0.00005595783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001742504,0.00006409887,0.0005102355,0.00000207762,0.00001340264,6.802396e-7,0.00008174399,0.0001708008,0.0005082251,0.4260988,0.008000655,0.5645475],"study_design_scores_gemma":[0.0003832945,0.0001816474,0.001044386,0.000004407015,0.000007935751,0.00000341843,0.00004684868,0.4303576,0.0003363357,0.01299091,0.5544887,0.0001546004],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01243265,0.00001980329,0.9089411,0.001018716,0.002424379,0.0001449952,5.409034e-7,0.000142231,0.0748756],"genre_scores_gemma":[0.1911906,0.000005776528,0.7502997,0.0007206102,0.0003120479,0.00001570287,0.000004016819,0.00001008102,0.05744146],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.564393,"threshold_uncertainty_score":0.9998609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325071167345533,"score_gpt":0.290864293816401,"score_spread":0.2676135821429457,"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."}}