{"id":"W4243300095","doi":"10.1109/mspec.2019.8701140","title":"Contributors","year":2019,"lang":"en","type":"article","venue":"IEEE Spectrum","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Standards Association","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":["insufficient_payload"],"category_scores_codex":[0.0001738647,0.000122683,0.0001717745,0.00008517617,0.00003198375,0.00003392138,0.00018912,0.00005316881,0.002896348],"category_scores_gemma":[0.00001882522,0.0001157178,0.00007387581,0.0002360584,0.0000297566,0.0001105725,0.00001820912,0.000135352,0.2299189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356024,"about_ca_system_score_gemma":0.00003750122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000695369,"about_ca_topic_score_gemma":0.00004950857,"domain_scores_codex":[0.998936,0.00003080724,0.0001320364,0.0002398843,0.0002327219,0.0004285655],"domain_scores_gemma":[0.9993849,0.00003553198,0.00005741368,0.0004156116,0.0000183723,0.00008819187],"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":[0.0002526772,0.000243225,0.1874752,0.00002800748,0.0001841425,0.0000932005,0.0003219194,0.0002902372,0.5618347,0.06281617,0.1860756,0.0003849661],"study_design_scores_gemma":[0.003041707,0.0003123792,0.0643885,0.0000297831,0.00003546049,0.00004836459,0.00006183326,0.0008091504,0.5553174,0.01033397,0.3648753,0.0007461773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9228632,0.00004475107,0.00003173547,0.0004365897,0.001501337,0.0002440525,0.00004950711,0.0003473917,0.07448144],"genre_scores_gemma":[0.9922205,0.000001342304,0.00003106649,0.0001438297,0.0002526696,0.000002586128,0.000005996932,0.00006134214,0.007280653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2270225,"threshold_uncertainty_score":0.9980152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005494149759366354,"score_gpt":0.2229786298171544,"score_spread":0.217484480057788,"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."}}