{"id":"W4290722265","doi":"10.1109/mspec.2022.9852417","title":"Contributors","year":2022,"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; Materials 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":[0.0003115495,0.0001030828,0.0001321906,0.0001135564,0.0003065465,0.00002292508,0.0002683392,0.00001509082,0.006717262],"category_scores_gemma":[0.00002034812,0.0001151465,0.00007498796,0.0004425983,0.00003523259,0.00005521343,0.00008277348,0.0002550932,0.007938285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004035868,"about_ca_system_score_gemma":0.00005816622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001122621,"about_ca_topic_score_gemma":0.00004674162,"domain_scores_codex":[0.9987413,0.0000989095,0.0001334371,0.000226138,0.0003914203,0.0004087675],"domain_scores_gemma":[0.999502,0.00003190132,0.00006269621,0.0003154003,0.000009425255,0.0000785889],"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":[0.0003144431,0.000474377,0.01498592,0.000006924782,0.0001553251,0.0005130101,0.0006845843,0.003015011,0.12475,0.05397021,0.800693,0.0004372364],"study_design_scores_gemma":[0.001377733,0.0002864886,0.006149968,0.000001662876,0.00002688766,0.000121749,0.0001954173,0.0006043405,0.06833652,0.01091093,0.9115832,0.0004050437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553219,0.0001379361,0.00006864611,0.001884202,0.002397845,0.0002773814,0.0004829601,0.00067863,0.03875051],"genre_scores_gemma":[0.9961076,6.759263e-7,0.00002017121,0.0002716719,0.0002303409,0.00002935249,0.00001635422,0.00006209672,0.003261669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1108902,"threshold_uncertainty_score":0.9941908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009827750679539258,"score_gpt":0.2311826086122782,"score_spread":0.221354857932739,"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."}}