{"id":"W4214806580","doi":"10.3982/ecta5997","title":"An Empirical Model of Growth Through Product Innovation","year":2008,"lang":"en","type":"article","venue":"Econometrica","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":354,"is_retracted":false,"has_abstract":true,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"Samfund og Erhverv, Det Frie Forskningsråd; National Science Foundation","keywords":"Economics; Productivity; Aggregate (composite); Growth model; Structural estimation; Growth theory; Econometrics; Panel data; Microeconomics; Resource (disambiguation); Product innovation; Product (mathematics); Creative destruction; Industrial organization; Macroeconomics; Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004235031,0.0001568471,0.000436448,0.001561804,0.0001117333,0.00002168457,0.0002973762,0.00009232544,0.0003978852],"category_scores_gemma":[0.0004067923,0.0001861883,0.00007467395,0.004648569,0.0001143819,0.0008009817,0.00003831907,0.0001496791,0.0003084752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008589966,"about_ca_system_score_gemma":0.0000546962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004265253,"about_ca_topic_score_gemma":7.816186e-7,"domain_scores_codex":[0.9980953,0.00001040511,0.001099594,0.0004959116,0.00005007709,0.0002487209],"domain_scores_gemma":[0.9987006,0.00003334605,0.0005626893,0.0004640897,0.0001924204,0.00004687218],"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":[0.0000162465,0.0003787997,0.2874334,0.00002663493,0.00003410666,0.000001025399,0.0007310802,0.0004088392,0.00009766961,0.7042412,0.006312522,0.0003185606],"study_design_scores_gemma":[0.002227431,0.0005916289,0.4289731,0.00001067066,0.000009472532,0.00002532693,0.00007871483,0.07177371,0.006526965,0.4611735,0.02731236,0.001297133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8638158,0.0003106288,0.0319777,0.001284687,0.0002418108,0.000223854,0.0001440875,0.00008182463,0.1019196],"genre_scores_gemma":[0.9877998,0.00009420944,0.009992036,0.0008705617,0.0001099743,0.00001975206,0.00006336017,0.00002740141,0.001022939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2430677,"threshold_uncertainty_score":0.7592539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1482846756506713,"score_gpt":0.2848216258298651,"score_spread":0.1365369501791938,"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."}}