{"id":"W4245997733","doi":"10.1002/ert.21596","title":"Issue Information","year":2017,"lang":"en","type":"paratext","venue":"Employment Relations Today","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; World Wide Web; Information retrieval; Library science; Data 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":[0.0003922672,0.0002587088,0.0005248588,0.0004316571,0.0006549115,0.0004615308,0.0004632315,0.0002782494,0.2020491],"category_scores_gemma":[0.00009882,0.000303257,0.0002000439,0.00008495707,0.0001144507,0.00106499,0.000196881,0.000251077,0.9027789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002696187,"about_ca_system_score_gemma":0.00004644843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003611401,"about_ca_topic_score_gemma":0.00000864129,"domain_scores_codex":[0.9984102,0.000008304312,0.000814183,0.0004038746,0.00005139806,0.0003120089],"domain_scores_gemma":[0.998003,0.00002956297,0.00104654,0.0007934723,0.00004728886,0.00008013447],"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":[0.000002091158,0.00001942308,0.0002736028,0.0000144104,0.0001142191,2.381865e-7,0.0005038882,0.0001870925,3.627329e-8,0.01865907,0.9797766,0.0004493436],"study_design_scores_gemma":[0.0002774281,0.00001612867,0.0004802984,0.00003629027,0.00001363051,5.470389e-7,0.00006666608,0.00009762899,0.000001911713,0.001191541,0.9974815,0.000336421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003858091,0.002089167,0.0006165575,0.001009854,0.02293043,0.0003386634,0.002681754,0.0000359958,0.970259],"genre_scores_gemma":[0.0007837453,0.000778017,0.0002134125,0.0002243509,0.0004367844,0.00007546461,0.0008698154,0.00002099385,0.9965974],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7007298,"threshold_uncertainty_score":0.9999419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624806264468595,"score_gpt":0.2438352165183624,"score_spread":0.2075871538736764,"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."}}