{"id":"W2102370463","doi":"","title":"Frontiers and Opportunities in Productivity Research","year":2014,"lang":"en","type":"article","venue":"International productivity monitor","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Developing country; Human capital; Economics; Capital (architecture); Business; Economic growth; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.004896034,0.0001711118,0.0003591348,0.0006841014,0.0001392029,0.0001341051,0.0003301041,0.00009230663,0.00005251784],"category_scores_gemma":[0.001507057,0.0002111157,0.00004855725,0.0001775831,0.0003164196,0.0009568837,0.0001870038,0.0004498743,0.00009905537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001368,"about_ca_system_score_gemma":0.00002824867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005258945,"about_ca_topic_score_gemma":0.00005283608,"domain_scores_codex":[0.9979602,0.0001542495,0.0004354698,0.0009501335,0.0001052723,0.0003946511],"domain_scores_gemma":[0.9990249,0.0001185818,0.0001739236,0.0004632329,0.0001140146,0.0001053583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001374275,0.0004602202,0.7036749,0.00006554068,0.00007886966,0.000005855665,0.000815423,0.00004645062,0.0003815673,0.235345,0.005353812,0.05363504],"study_design_scores_gemma":[0.0007739994,0.0001296904,0.3713537,0.00002693292,0.000002902887,0.00001963303,0.0001932295,0.002097975,0.002130636,0.3285299,0.2942038,0.0005376674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469035,0.0009337479,0.0007796268,0.02176701,0.003054216,0.0003281119,0.00005488834,0.00004525606,0.02613365],"genre_scores_gemma":[0.9940279,0.0001414152,0.0006518713,0.00005061353,0.001580161,0.00006832517,0.00001077336,0.00002501072,0.003443915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3323211,"threshold_uncertainty_score":0.8609047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175671091808821,"score_gpt":0.2900942105903382,"score_spread":0.1725271014094562,"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."}}