{"id":"W4391481314","doi":"10.1002/for.2991","title":"Issue Information","year":2024,"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":"McGill University; 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":[0.0008848371,0.0001612556,0.0006022226,0.0006528409,0.00007690265,0.0003017092,0.0002541647,0.0001364852,0.02545464],"category_scores_gemma":[0.0001716251,0.0001590285,0.0002868984,0.0001651356,0.00004094445,0.0007182035,0.0001003204,0.0003858912,0.2934129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001673752,"about_ca_system_score_gemma":0.00004915262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001913885,"about_ca_topic_score_gemma":5.434085e-7,"domain_scores_codex":[0.9982795,0.000004162865,0.001323699,0.000137295,0.00004657133,0.0002088383],"domain_scores_gemma":[0.9978806,0.00003928643,0.001806654,0.0001165905,0.00009472307,0.00006210357],"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":[0.000005481487,0.000005772959,0.00001341352,0.0001500033,0.0001552933,0.000004403211,0.0008090405,0.0002784323,1.272159e-7,0.001272523,0.9945381,0.002767374],"study_design_scores_gemma":[0.0001547859,0.00004122722,0.000004231701,0.0002291699,0.00001914774,0.00004271778,0.0004079012,0.0008301886,0.000004430191,0.001101505,0.997008,0.0001566851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003144909,0.009597489,0.0003848671,0.0002052056,0.05097936,0.00006147227,0.000556034,0.000005385841,0.9378957],"genre_scores_gemma":[0.002899793,0.0009904159,0.0007026855,0.00016703,0.002274792,0.000001987686,0.00002222008,0.0000211956,0.9929199],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2679582,"threshold_uncertainty_score":0.9754362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06099685937495054,"score_gpt":0.2298690930666504,"score_spread":0.1688722336916999,"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."}}