{"id":"W4385443632","doi":"10.1002/for.2866","title":"Issue Information","year":2023,"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":[0.00107728,0.0001525813,0.0006405216,0.0006820071,0.0001109827,0.0001812511,0.0002895059,0.0001377163,0.01762745],"category_scores_gemma":[0.0003677769,0.0001592314,0.0002553082,0.0002125636,0.00004104757,0.0007175162,0.0001004048,0.0003007903,0.3389333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001427553,"about_ca_system_score_gemma":0.00004234953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003177275,"about_ca_topic_score_gemma":0.000001045842,"domain_scores_codex":[0.9982061,0.000005281352,0.001372351,0.0001267952,0.00005100504,0.0002384824],"domain_scores_gemma":[0.9968416,0.00006812918,0.002779932,0.000127941,0.0001171178,0.00006529668],"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":[0.000006360168,0.000005638232,0.00003226729,0.00007035696,0.000117861,0.00000307702,0.000636772,0.0006271139,8.861389e-8,0.0004682097,0.9957491,0.002283189],"study_design_scores_gemma":[0.0002451106,0.00004054633,0.00002828341,0.000131685,0.00001045673,0.00001848469,0.0005405418,0.0008050231,0.00000284069,0.0005416506,0.9974781,0.0001572731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004157415,0.001655,0.0004267337,0.0001695056,0.04610547,0.00007150832,0.0005767993,0.000008248789,0.950571],"genre_scores_gemma":[0.001153217,0.0009797054,0.0005493471,0.0001347564,0.001819067,0.000002330763,0.0000323798,0.00002408726,0.9953051],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3213058,"threshold_uncertainty_score":0.9832706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0849245082485779,"score_gpt":0.2355550869269293,"score_spread":0.1506305786783514,"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."}}