{"id":"W4243536351","doi":"10.1017/s0963548314000789","title":"CPC volume 24 issue 1 Cover and Back matter","year":2015,"lang":"en","type":"paratext","venue":"Combinatorics Probability Computing","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Cover (algebra); Volume (thermodynamics); Content (measure theory); Action (physics); Computer science; Engineering; Mathematics; Physics; Mechanical engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001686017,0.0005447624,0.001403613,0.00024809,0.0003063798,0.0004183947,0.0006182794,0.0004364537,0.1025026],"category_scores_gemma":[0.0001551588,0.0006652249,0.0002038358,0.0003336842,0.0003611383,0.0002482614,0.001241506,0.0005669034,0.7857852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006604793,"about_ca_system_score_gemma":0.00008654272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001309178,"about_ca_topic_score_gemma":4.269326e-7,"domain_scores_codex":[0.9963468,0.00005026069,0.001225294,0.001570618,0.00009391794,0.0007131468],"domain_scores_gemma":[0.9977018,0.0001018565,0.0008586686,0.0008954974,0.0001911202,0.0002510386],"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":[0.000006427836,0.0001115365,0.009948658,0.0004031933,0.0001005698,0.000001009,0.0005792757,0.0001457277,7.360738e-8,0.003929785,0.9846904,0.00008335002],"study_design_scores_gemma":[0.0006297382,0.00004925942,0.0004265897,0.00006674164,0.00001595492,0.000004113228,0.00007266424,0.002433418,0.000001204423,0.01674343,0.9788428,0.000714072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004468426,0.007797129,0.0003685639,0.0004281514,0.02761953,0.0006732903,0.0007441125,0.00003702306,0.9578637],"genre_scores_gemma":[0.01168648,0.0002044446,0.0004537303,0.0003202348,0.0004223181,0.00001134856,0.0001100072,0.00006521811,0.9867262],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6832826,"threshold_uncertainty_score":0.9995799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05105783960988507,"score_gpt":0.2270493470551625,"score_spread":0.1759915074452774,"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."}}