{"id":"W324269518","doi":"10.4018/jgim.2015040103","title":"Technology Development through Knowledge Assimilation and Innovation","year":2015,"lang":"en","type":"article","venue":"Journal of Global Information Management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Aeronautics and Space Administration","keywords":"Productivity; Economics; Shock (circulatory); Total factor productivity; Investment (military); Poverty; Technological change; Endogenous growth theory; Economic system; Macroeconomics; Economic growth; Human capital; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009114119,0.000422825,0.0005248682,0.0008659522,0.0006822499,0.002912739,0.0005769295,0.00137004,0.005740803],"category_scores_gemma":[0.003173028,0.0002639873,0.0009305621,0.0008653496,0.001665942,0.004001139,0.002065522,0.0007851162,0.000574719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001954414,"about_ca_system_score_gemma":0.00152267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004278001,"about_ca_topic_score_gemma":0.00239949,"domain_scores_codex":[0.9994677,0.000195507,0.00002008574,0.0001194034,0.0000761518,0.0001211469],"domain_scores_gemma":[0.9985708,0.0007799786,0.0002826388,0.0001237822,0.0001059797,0.0001368604],"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":[0.00006222472,0.00009196322,0.003226558,0.0001038005,0.00006409239,0.0003240494,0.0003404692,0.1294232,0.001089623,0.8444157,0.001020347,0.01983793],"study_design_scores_gemma":[0.00005126719,0.0001272604,0.002716365,0.00008346952,0.00005611211,0.0002594422,0.0002962226,0.2944917,0.0007559279,0.6919129,0.009206533,0.0000428159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4813668,0.003899439,0.2510497,0.008753913,0.0001697692,0.0001118628,0.000355446,0.0001884305,0.2541046],"genre_scores_gemma":[0.9788112,0.001334612,0.006591562,0.0001070358,0.00004448464,0.00003370649,0.00003665141,0.00001059086,0.01303016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005740803,"threshold_uncertainty_score":0.01920485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05307918987468094,"score_gpt":0.2591924559182091,"score_spread":0.2061132660435282,"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."}}