{"id":"W2913620607","doi":"10.5539/ibr.v12n2p135","title":"Value Knowledge, Institutional Essence and Economic Growth","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Economic Theory and Institutions","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Institution; Certainty; Variance (accounting); Per capita; Distribution (mathematics); Economics; Classical economics; Economic system; Statistics; Mathematics; Sociology; Social science; Demography; Accounting","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001010352,0.0001075933,0.0001906543,0.000526979,0.0002409988,0.0001683738,0.0004537604,0.0000827916,0.002327879],"category_scores_gemma":[0.0002714811,0.0001268486,0.0000432947,0.0002095772,0.000334633,0.0007747246,0.0002524483,0.0002359868,0.0112197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432426,"about_ca_system_score_gemma":0.0001558511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005228849,"about_ca_topic_score_gemma":0.00003485442,"domain_scores_codex":[0.9988328,0.00002565542,0.0003742555,0.000455106,0.00005269311,0.000259446],"domain_scores_gemma":[0.999256,0.0001691577,0.00008250689,0.0002157075,0.0001995539,0.00007710732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002021665,0.00005538181,0.06166965,0.00002096327,0.00003217195,0.000002109494,0.00005700878,0.00045486,0.00005578022,0.9368465,0.0006640761,0.0001212688],"study_design_scores_gemma":[0.0007546915,0.00002522063,0.2716187,0.00005285479,0.00000128511,0.00003985037,0.00004625659,0.004795121,0.0001186914,0.4948237,0.2274596,0.0002639769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5217237,0.0005912493,0.001722553,0.002287323,0.002033085,0.0001868525,0.0001597386,0.00002761458,0.4712679],"genre_scores_gemma":[0.9929787,0.0003891365,0.0001745147,0.00007443548,0.000324506,0.00003108316,0.00003643183,0.00001239024,0.0059788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.471255,"threshold_uncertainty_score":0.9985842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05825657341381074,"score_gpt":0.3191080695374525,"score_spread":0.2608514961236418,"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."}}