{"id":"W4206460673","doi":"10.1145/3458593.3458594","title":"Verification column","year":2020,"lang":"en","type":"article","venue":"ACM SIGLOG News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Column (typography); Relevance (law); Quarter (Canadian coin); Computer science; Political science; History; Telecommunications; Law; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.00006998131,0.00006835053,0.0000847381,0.00002430179,0.00007174168,0.00009573076,0.001114727,0.0000410988,0.00001416047],"category_scores_gemma":[0.0002415558,0.00007028719,0.00003071687,0.000317084,0.00001498056,0.0001846025,0.0002628979,0.00007183226,0.0001677268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001215813,"about_ca_system_score_gemma":0.00003160142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001714941,"about_ca_topic_score_gemma":0.000001073357,"domain_scores_codex":[0.9993284,0.00004272185,0.0001357615,0.0002589137,0.0001116547,0.0001225994],"domain_scores_gemma":[0.9992233,0.00005015476,0.00006017832,0.0005392516,0.00004476664,0.00008236864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001592223,0.0001152437,0.005422376,0.00003128449,0.00002956488,0.00002255651,0.00356682,0.006964257,0.007658267,0.0882218,0.6127104,0.2752415],"study_design_scores_gemma":[0.0005632182,0.0003236988,0.004002857,0.00001517623,0.000007478231,0.000009680199,0.000035247,0.619166,0.01526442,0.01195507,0.3481511,0.0005060714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001290362,0.00005978158,0.9794042,0.01317284,0.00008994532,0.00009553176,4.640746e-7,0.000902416,0.004984445],"genre_scores_gemma":[0.5199119,0.00003555929,0.4735222,0.006260084,0.0001008293,0.00001000848,0.000004614823,0.000006570184,0.0001481839],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6122018,"threshold_uncertainty_score":0.2866229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04073593764287183,"score_gpt":0.2665553533010225,"score_spread":0.2258194156581507,"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."}}