{"id":"W4388407660","doi":"10.1109/mspec.2023.10309281","title":"Contributors","year":2023,"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":[],"category_scores_codex":[0.0002783561,0.0001143385,0.0001419116,0.0001916571,0.00008221571,0.0000364505,0.0001815322,0.0000479673,0.0005309421],"category_scores_gemma":[0.00006380628,0.0001119728,0.00007208913,0.001027658,0.00004839947,0.0000784014,0.00002655093,0.0001183672,0.214268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049298,"about_ca_system_score_gemma":0.00003464384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006471787,"about_ca_topic_score_gemma":0.00009879888,"domain_scores_codex":[0.9988132,0.00003366694,0.0001342201,0.0002238301,0.0002536141,0.0005415351],"domain_scores_gemma":[0.9994705,0.00005503829,0.00004148444,0.0003141567,0.00001609047,0.0001026739],"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":[0.000054737,0.00005253803,0.01063186,0.000009061976,0.00007881541,0.0003319598,0.0002370753,0.0002502516,0.1066666,0.01651071,0.8648101,0.0003662245],"study_design_scores_gemma":[0.00199927,0.0001667802,0.1014307,0.00002521209,0.00004247456,0.00003813862,0.0001257292,0.002473586,0.4069173,0.03293581,0.4531004,0.0007445751],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9667992,0.00002716344,0.0000406224,0.001901052,0.00165129,0.0001873936,0.0001437437,0.002518488,0.02673104],"genre_scores_gemma":[0.9934745,0.000005059007,0.00001237065,0.00008741416,0.0004227033,0.000007576151,0.00002028321,0.00007331838,0.005896736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4117097,"threshold_uncertainty_score":0.7863438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854621028649759,"score_gpt":0.2719056534010588,"score_spread":0.2533594431145612,"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."}}