{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009652601,0.001475087,0.001297586,0.002852211,0.001771455,0.00803603,0.001849522,0.002214612,0.9233116],"category_scores_gemma":[0.00593826,0.000498626,0.0007608312,0.003091453,0.0005540185,0.005665611,0.002385309,0.002331762,0.8924414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498863,"about_ca_system_score_gemma":0.00211563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002274274,"about_ca_topic_score_gemma":0.003736162,"domain_scores_codex":[0.9991359,0.0000922535,0.00006882688,0.0001442561,0.0004455167,0.0001133337],"domain_scores_gemma":[0.996265,0.0003823596,0.0001474438,0.000426365,0.001571084,0.001207785],"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":[0.000008583243,0.000009538578,0.00002369259,0.00006743805,6.990999e-7,0.000009480483,0.000005378694,0.00001426175,0.00004396547,0.0007429096,0.9829385,0.01613558],"study_design_scores_gemma":[0.000005041137,0.000006125764,0.0001106939,0.00005638389,6.174189e-7,0.00001656869,0.00001791874,0.0000198896,0.00003360234,0.0004438888,0.9992869,0.000002350624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002078385,0.0009233055,0.000699726,0.003726596,0.01761851,0.0003627321,0.01953382,0.002269871,0.9546576],"genre_scores_gemma":[0.0006662873,0.0006709645,0.0002701978,0.001266379,0.002098054,0.00008522184,0.00819638,0.0005982451,0.9861482],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07668841,"threshold_uncertainty_score":0.1093866,"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."}}