{"id":"W4247187531","doi":"10.1002/gea.21577","title":"Issue Information","year":2016,"lang":"en","type":"paratext","venue":"Geoarchaeology","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001490912,0.001719298,0.001737279,0.004116221,0.001856249,0.01102389,0.002356892,0.002740929,0.9321277],"category_scores_gemma":[0.01022619,0.0006538642,0.001061344,0.005115785,0.00059642,0.006248761,0.00267726,0.002382003,0.9084806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001938496,"about_ca_system_score_gemma":0.003189997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003759162,"about_ca_topic_score_gemma":0.006220721,"domain_scores_codex":[0.9983474,0.0001860218,0.0001345898,0.0002546778,0.0008801204,0.0001972297],"domain_scores_gemma":[0.993361,0.0008223059,0.0003015261,0.0006726658,0.003019942,0.0018226],"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":[0.00001289664,0.000010455,0.00003603456,0.0001041259,0.000001043026,0.000006995339,0.0000059289,0.00001373071,0.00003629725,0.0005388784,0.9841806,0.01505306],"study_design_scores_gemma":[0.00001005786,0.000008543283,0.0001866985,0.0001045213,0.000001192242,0.00001442077,0.00001872189,0.00002311877,0.00003694458,0.0004509052,0.9991413,0.000003540706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002082729,0.001016969,0.0006549521,0.00377617,0.01073361,0.0004572072,0.05265912,0.002469153,0.9280246],"genre_scores_gemma":[0.0008020432,0.0009001744,0.0003357476,0.001570584,0.002100343,0.0001404257,0.02112542,0.0009164339,0.9721088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06787235,"threshold_uncertainty_score":0.09681165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140663533262592,"score_gpt":0.2128960815957211,"score_spread":0.1914894462630952,"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."}}