{"id":"W185817929","doi":"10.1145/1924421.1924447","title":"Q&A: The chief computer","year":2011,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Editor in chief; Management; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0003120338,0.00006007522,0.00006232477,0.00001619433,0.000179292,0.000009458663,0.01494015,0.00006181212,0.00001767125],"category_scores_gemma":[0.001677902,0.0000321416,0.00008525907,0.00008883431,0.0007028363,0.000001720381,0.01493258,0.0001223369,0.00003085725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003889606,"about_ca_system_score_gemma":0.0000483879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003567459,"about_ca_topic_score_gemma":0.00008186667,"domain_scores_codex":[0.9994033,0.00009658471,0.0001806523,0.00007092544,0.0001265441,0.000122],"domain_scores_gemma":[0.9842103,0.00004314626,0.00007701458,0.01552806,0.0001049723,0.00003652911],"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":[0.0001167386,0.001133668,0.01927526,0.0001178347,0.0005168089,1.578547e-7,0.005297472,0.00001396612,0.1263467,0.006130565,0.7656524,0.07539836],"study_design_scores_gemma":[0.0005375964,0.0002479431,0.07901273,0.00004418688,0.00004826856,0.00001310429,0.0003520943,0.0003495091,0.07426955,0.02007427,0.8248056,0.0002451311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8013659,0.006236531,0.004045082,0.1006458,0.00100608,0.001568001,0.0001114196,0.00004531892,0.08497591],"genre_scores_gemma":[0.9191225,0.001350319,0.07798804,0.0006691066,0.00007696396,0.00001561973,0.0000385493,0.000008372841,0.0007305209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1177567,"threshold_uncertainty_score":0.9930345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09128872891740823,"score_gpt":0.3236906904548924,"score_spread":0.2324019615374842,"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."}}