{"id":"W4389274941","doi":"10.1111/grow.12643","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"Growth and Change","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique; McMaster University; Statistics Canada","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":[0.001368212,0.001059718,0.001415761,0.002961274,0.001499825,0.005683891,0.001858491,0.002309078,0.9436102],"category_scores_gemma":[0.009800058,0.0004967627,0.0008112963,0.00271686,0.0004131865,0.002990695,0.00189475,0.001934889,0.8873101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428593,"about_ca_system_score_gemma":0.002379053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002322877,"about_ca_topic_score_gemma":0.004778994,"domain_scores_codex":[0.9987109,0.0001456445,0.00009795489,0.0001775892,0.0006887594,0.0001791535],"domain_scores_gemma":[0.993996,0.0008694356,0.0002231865,0.0006775228,0.002934677,0.001299063],"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":[0.00002686755,0.00001681014,0.00003585674,0.0001108037,0.000001412833,0.00001243324,0.000007228477,0.00001736908,0.00006291411,0.0008943662,0.9815099,0.01730408],"study_design_scores_gemma":[0.00001227702,0.00001251064,0.000171215,0.00008769059,0.000001408083,0.00001795409,0.0000171929,0.00003250672,0.00006940225,0.0005039348,0.9990705,0.000003376167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002719621,0.0006207409,0.0007086309,0.004664219,0.01757183,0.0004340638,0.03784727,0.001943549,0.9359378],"genre_scores_gemma":[0.0009708937,0.0003663075,0.0002609076,0.001206919,0.001423609,0.0001136879,0.01071746,0.0004940694,0.9844462],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05638981,"threshold_uncertainty_score":0.08043313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0652438990099359,"score_gpt":0.2166500183647391,"score_spread":0.1514061193548032,"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."}}