{"id":"W4224117627","doi":"10.1016/j.jedc.2022.104396","title":"Comments on Cong, Wei, Xie, and Zhang (2021) “Endogenous Growth with Multiple Uses of Data”","year":2022,"lang":"en","type":"article","venue":"Journal of Economic Dynamics and Control","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada","funders":"","keywords":"Zhàng; Transparency (behavior); Economics; Order (exchange); Price discovery; Financial economics; Political science; Law; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.0009861065,0.0001737592,0.0007385947,0.0002153984,0.0001693554,0.00006783648,0.000400561,0.00004635216,0.0001365549],"category_scores_gemma":[0.00003096173,0.0001777733,0.00007669764,0.00003452623,0.0001000146,0.0003652757,0.000193197,0.0002444262,0.000003701657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851138,"about_ca_system_score_gemma":0.00005818626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002944128,"about_ca_topic_score_gemma":0.0001981028,"domain_scores_codex":[0.9984988,0.00002748244,0.0009023548,0.0003137859,0.000033779,0.0002238001],"domain_scores_gemma":[0.9979441,0.0002788602,0.001294283,0.0003354187,0.00003286523,0.0001144907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001384347,0.0003072635,0.2084256,0.00005936096,0.001049976,0.00003001588,0.0004711063,0.005165901,0.00003355986,0.7792832,0.000358651,0.003431036],"study_design_scores_gemma":[0.03885201,0.006814925,0.02056212,0.0001333766,0.0003403889,0.001010996,0.004069132,0.7507893,0.00005594322,0.1505134,0.02514611,0.001712278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879028,0.001953408,0.00257107,0.001072124,0.0005055382,0.0002464156,0.003305223,0.000004384114,0.002439076],"genre_scores_gemma":[0.9982313,0.0008459421,0.0002626556,0.0003327831,0.000117772,0.000007363538,0.00002661207,0.00002740508,0.0001481824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7456234,"threshold_uncertainty_score":0.7249384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974730724572523,"score_gpt":0.203915040844347,"score_spread":0.1741677335986218,"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."}}