{"id":"W4232403814","doi":"10.1002/gea.21602","title":"Issue Information","year":2017,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004161874,0.0002367667,0.000752895,0.0004097583,0.0003069305,0.00008974332,0.0007204987,0.0003749946,0.1780689],"category_scores_gemma":[0.0001220537,0.0002828228,0.0001603695,0.00004299495,0.0007221717,0.0004409773,0.0006290649,0.0002690921,0.9070717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008907273,"about_ca_system_score_gemma":0.00003968073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053248,"about_ca_topic_score_gemma":0.00003669102,"domain_scores_codex":[0.9984394,0.000009254742,0.0006260052,0.0004356835,0.00002382403,0.0004657791],"domain_scores_gemma":[0.9981968,0.00002704831,0.0009048658,0.0007561294,0.00004145204,0.00007370635],"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":[0.00000627825,0.000006525492,0.0001185294,0.0000433492,0.00008140683,0.000001165199,0.0008838907,0.00001702826,2.787136e-8,0.03037309,0.9671164,0.001352373],"study_design_scores_gemma":[0.0002927191,0.00002805334,0.000149055,0.00001080332,0.00000526837,0.000003677871,0.0001132797,0.00005188987,0.000001588107,0.004909827,0.9941475,0.0002863851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006779075,0.003082257,0.000326523,0.001124666,0.04152987,0.0001881236,0.002706856,0.00002041313,0.9509535],"genre_scores_gemma":[0.0008158149,0.001831575,0.0001727299,0.0006027239,0.0006618677,0.00004316889,0.0004987707,0.00001519865,0.9953582],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7290028,"threshold_uncertainty_score":0.9999624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03166982981779861,"score_gpt":0.232887637712961,"score_spread":0.2012178078951624,"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."}}