{"id":"W4235187731","doi":"10.1109/mspec.2018.8513767","title":"Contributors","year":2018,"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":[0.0001979095,0.0001215903,0.0001372438,0.00008869451,0.0001095527,0.000038539,0.0001988679,0.00005209944,0.001883332],"category_scores_gemma":[0.00004994021,0.000114069,0.00005616996,0.0003075484,0.0001962985,0.00009662646,0.00002011217,0.00009811052,0.1096555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001234193,"about_ca_system_score_gemma":0.00004001441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009467048,"about_ca_topic_score_gemma":0.0003156321,"domain_scores_codex":[0.9989185,0.00003407224,0.0001357189,0.0002315788,0.0002122402,0.0004678603],"domain_scores_gemma":[0.9993919,0.00002439075,0.00005569698,0.0003698406,0.00004622734,0.0001119877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002447286,0.0001982353,0.01627885,0.000006722155,0.0001378675,0.00008778262,0.0005444715,0.000004731369,0.2785419,0.03844825,0.664749,0.0007575089],"study_design_scores_gemma":[0.000842303,0.0002788817,0.01313555,0.000009657606,0.00002045114,0.0000289051,0.00001935323,0.0002127399,0.6847838,0.009583461,0.290792,0.0002928617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8931318,0.00003685481,0.000364894,0.0008492951,0.002090507,0.0001731127,0.00007139036,0.0006188582,0.1026633],"genre_scores_gemma":[0.9955502,9.14603e-7,0.00009051484,0.0002131241,0.001796902,0.000002878189,0.000003360489,0.00005858986,0.00228354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4062419,"threshold_uncertainty_score":0.9990291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179840404097719,"score_gpt":0.2636610662771651,"score_spread":0.2518626622361879,"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."}}