{"id":"W3095697412","doi":"","title":"A Relook: Effects of Age at Entry, Knowledge Intensity, and Imitability on International Growth","year":2020,"lang":"en","type":"article","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Political science; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.006483105,0.001295686,0.001876386,0.00105581,0.001181798,0.005086056,0.003222786,0.004433346,0.03425031],"category_scores_gemma":[0.02664132,0.0007478837,0.003707395,0.001101678,0.001840526,0.005409698,0.005051802,0.00509228,0.003045328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009619421,"about_ca_system_score_gemma":0.002272761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01866648,"about_ca_topic_score_gemma":0.01601601,"domain_scores_codex":[0.9974394,0.001220498,0.0001230278,0.0004516419,0.000107334,0.0006580657],"domain_scores_gemma":[0.8941705,0.07999494,0.008061271,0.003320487,0.00172457,0.01272825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02109024,0.004130498,0.9133679,0.0004417501,0.003290685,0.002577504,0.00248656,0.007692065,0.003359328,0.006601165,0.009711341,0.02525104],"study_design_scores_gemma":[0.001802119,0.006448704,0.9231469,0.0004144424,0.006711227,0.000576469,0.01075598,0.02687191,0.003895497,0.01206476,0.006969288,0.0003426882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890472,0.001938973,0.0007411538,0.002999035,0.0001861331,0.00004115984,0.001140381,0.00009157664,0.003814335],"genre_scores_gemma":[0.9903412,0.0002771426,0.0001297724,0.0003300548,0.0001471133,0.00002468132,0.000495793,0.00003438132,0.008219765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03425031,"threshold_uncertainty_score":0.1145787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775867534404699,"score_gpt":0.2066117658808599,"score_spread":0.1788530905368129,"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."}}