{"id":"W4411237125","doi":"10.1002/for.3159","title":"Issue Information","year":2025,"lang":"en","type":"paratext","venue":"Journal of Forecasting","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008215465,0.0001518307,0.0006608489,0.0006857992,0.0001092567,0.0001740508,0.0003007713,0.000141247,0.02474963],"category_scores_gemma":[0.0003272191,0.0001589063,0.000253235,0.0001738225,0.00003823699,0.0006763993,0.00009974317,0.0003042726,0.07721958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001628307,"about_ca_system_score_gemma":0.00007309292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002548465,"about_ca_topic_score_gemma":4.853643e-7,"domain_scores_codex":[0.99827,0.000005652937,0.001358864,0.0001227126,0.00003992284,0.0002028426],"domain_scores_gemma":[0.9970995,0.00005956292,0.002518338,0.000132403,0.0001399722,0.00005025863],"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":[0.000008569912,0.000008352971,0.00004740965,0.0001051673,0.0001313497,0.000001373539,0.0004049534,0.0004046135,6.50613e-8,0.0009551116,0.9938879,0.004045144],"study_design_scores_gemma":[0.000275892,0.00003168089,0.00001363224,0.000202497,0.00001417102,0.00001195888,0.0003358049,0.0005595791,0.000004706564,0.0004360701,0.9979753,0.0001387373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001504052,0.003686603,0.001097902,0.0001711837,0.03210297,0.00006830545,0.0004702789,0.000003222686,0.9622491],"genre_scores_gemma":[0.001106041,0.000805794,0.0009410076,0.0002450307,0.000968303,0.000001745712,0.00002217563,0.000008091233,0.9959018],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05246995,"threshold_uncertainty_score":0.9761419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05168328744907229,"score_gpt":0.2274879024693691,"score_spread":0.1758046150202968,"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."}}