{"id":"W4250215123","doi":"10.1017/jbr.2017.146","title":"JBR volume 56 issue 4 Cover and Back matter","year":2017,"lang":"en","type":"paratext","venue":"Journal of British Studies","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Concordia University","funders":"","keywords":"Cover (algebra); Volume (thermodynamics); Action (physics); Computer science; Engineering; Mechanical engineering; Physics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006424809,0.0002692451,0.001730072,0.0002257541,0.0003011691,0.0004743513,0.0004381522,0.0001776776,0.1293873],"category_scores_gemma":[0.0001094706,0.0003391043,0.0003940692,0.00004531163,0.0005100506,0.0005005556,0.0004148055,0.0003417428,0.5319974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343152,"about_ca_system_score_gemma":0.00002856742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000174057,"about_ca_topic_score_gemma":0.0000075721,"domain_scores_codex":[0.9979663,0.0000128862,0.001143667,0.0004549065,0.00006486862,0.0003573471],"domain_scores_gemma":[0.9971313,0.00004915308,0.002228205,0.0002928749,0.0001965578,0.0001019125],"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":[0.000009938507,0.00002759822,0.001652067,0.0001867427,0.001314236,0.00003429406,0.0003631523,0.000005612388,8.753882e-8,0.000009924182,0.9957834,0.0006129015],"study_design_scores_gemma":[0.0006291315,0.00005833447,0.003099047,0.0004153335,0.00006048886,0.0001356642,0.0005646627,0.0000048203,4.015602e-7,0.0001751543,0.9945026,0.000354346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00115427,0.2131135,0.00001852939,0.0008448634,0.01866845,0.0001108596,0.002146635,0.00000219199,0.7639406],"genre_scores_gemma":[0.0007800125,0.1036268,0.000196934,0.0004090383,0.001680032,0.000003575319,0.000005661918,0.00002909262,0.8932689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4026102,"threshold_uncertainty_score":0.9999061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448261298012897,"score_gpt":0.2497010672602704,"score_spread":0.2052184542801414,"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."}}