{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001398959,0.001130588,0.001465099,0.003267687,0.001398759,0.005176444,0.001889747,0.002271961,0.9505294],"category_scores_gemma":[0.01148435,0.0005213651,0.0007939939,0.003152825,0.0003647051,0.003122926,0.001854247,0.001791578,0.8948379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185187,"about_ca_system_score_gemma":0.002103214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001935983,"about_ca_topic_score_gemma":0.003774115,"domain_scores_codex":[0.9987655,0.0001425888,0.0001053513,0.0001792079,0.000635372,0.000172109],"domain_scores_gemma":[0.9934803,0.001043008,0.0002450231,0.0007595569,0.003095983,0.001376101],"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":[0.00002959691,0.00001837365,0.00004242449,0.000116442,0.000001432027,0.00001322676,0.000007476023,0.00001978433,0.00006121823,0.0007407644,0.9791422,0.01980711],"study_design_scores_gemma":[0.00001665067,0.00001707119,0.0002031098,0.0001042919,0.000001875102,0.00002175073,0.00001920064,0.00004813481,0.00008095763,0.0005860684,0.9988967,0.000004186084],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003872993,0.0006950596,0.0009332293,0.005640815,0.01835246,0.0005914284,0.06377288,0.00247249,0.9071545],"genre_scores_gemma":[0.001295923,0.0004634878,0.0003557669,0.00138283,0.001638016,0.0001602963,0.01678404,0.0006271951,0.9772924],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0494706,"threshold_uncertainty_score":0.07056379,"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."}}