{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001604336,0.0001630238,0.0003755812,0.0003257623,0.000120758,0.0001409022,0.0001353901,0.000163652,0.01592285],"category_scores_gemma":[0.00002801241,0.0001861644,0.00006702945,0.0001443841,0.00005874659,0.0004283179,0.0001447225,0.0001069035,0.6501547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000273868,"about_ca_system_score_gemma":0.000005843946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006024379,"about_ca_topic_score_gemma":0.000006931652,"domain_scores_codex":[0.9991142,0.000002801842,0.0003361313,0.0002702328,0.00002106395,0.0002555439],"domain_scores_gemma":[0.9995072,0.00001478229,0.0002433438,0.0001491828,0.00001546957,0.000069987],"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":[0.000002225812,0.000003632689,0.00006525293,0.0001426802,0.00003504035,3.718996e-7,0.001616812,1.146522e-7,2.843591e-8,0.005519837,0.9919347,0.0006793733],"study_design_scores_gemma":[0.0001667128,0.00001820998,0.000420148,0.00002114849,0.000004661124,5.060983e-7,0.0003386262,0.00002852563,0.000001567415,0.0007041878,0.9980763,0.0002193897],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001251173,0.004557054,0.00001884963,0.0005561244,0.01768753,0.0002019937,0.003830949,0.00003663979,0.9729857],"genre_scores_gemma":[0.001584189,0.01250651,0.00002002776,0.0009660249,0.001069882,0.0001017981,0.0005021458,0.00002000678,0.9832294],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6342319,"threshold_uncertainty_score":0.9849767,"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."}}