{"id":"W3121290877","doi":"","title":"Technological Regimes, Catching-up and Leapfrogging: Findings from the Korean Industries","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Leapfrogging; Stylized fact; Technological change; Industrial organization; Business; Mobile phone; Marketing; Economics; Telecommunications; Engineering; Economic growth","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":[0.001214763,0.0001591184,0.000241271,0.001568099,0.001069318,0.00174824,0.0005256921,0.0005072805,0.0018993],"category_scores_gemma":[0.004662783,0.0002797556,0.0002580002,0.001972505,0.001134714,0.002311265,0.002276549,0.0006753053,0.0001843269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007314449,"about_ca_system_score_gemma":0.000567515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01546078,"about_ca_topic_score_gemma":0.02260146,"domain_scores_codex":[0.9994878,0.0001221569,0.00005758539,0.00008712316,0.0000758453,0.0001695213],"domain_scores_gemma":[0.9948396,0.002068726,0.001911615,0.0002822549,0.0003957245,0.0005019956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001185909,0.0001329651,0.7856268,0.0001311135,0.00003487763,0.00134592,0.1942028,0.0002951221,0.001144187,0.001492794,0.0002972646,0.01517752],"study_design_scores_gemma":[0.0000052766,0.0001054449,0.632747,0.00007277886,0.000017258,0.000340249,0.3624265,0.0005239499,0.0004800841,0.0003802435,0.002872397,0.00002884933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993026,0.00004216392,0.0000284259,0.00002536826,2.485964e-7,0.000002373731,0.00001806476,4.912449e-7,0.0005803163],"genre_scores_gemma":[0.9995537,0.00008531073,0.00004100525,0.0000162931,4.562366e-7,0.000002655641,0.00003800221,0.000001348742,0.0002611564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01546078,"threshold_uncertainty_score":0.03074157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936866472861667,"score_gpt":0.2007378783553963,"score_spread":0.1813692136267797,"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."}}