{"id":"W2166960645","doi":"10.3386/w21657","title":"Measuring Changes in the Bilateral Technology Gaps between China, India and the U.S. 1979 - 2008","year":2015,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Indian Economic and Social Development","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"China; Geography; Demographic economics; Economic geography; Development economics; Economics","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":[0.023753,0.0002438363,0.0009343069,0.001788237,0.0002521719,0.0001254207,0.00097148,0.0005900956,0.0001862808],"category_scores_gemma":[0.001269468,0.0001970886,0.0001131054,0.0003581246,0.0009047659,0.0001273325,0.0002992047,0.001171477,0.0002595349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00232185,"about_ca_system_score_gemma":0.001816167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003207184,"about_ca_topic_score_gemma":0.0008399018,"domain_scores_codex":[0.9972316,0.0001539166,0.001112202,0.0005720909,0.0003852449,0.0005449515],"domain_scores_gemma":[0.9979796,0.000536575,0.0006565776,0.0003591633,0.0004004149,0.00006771539],"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":[0.00004901271,0.0000412645,0.1033053,0.0001171023,0.0003216814,0.000007193589,0.002531252,0.0000277957,2.625312e-7,0.8519738,0.0392677,0.002357638],"study_design_scores_gemma":[0.001305009,0.00005132327,0.08248684,0.00006551658,0.000007094626,0.00002295531,0.0003909349,0.00005137257,0.00000720964,0.7925326,0.1227748,0.0003043808],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05875052,0.00998186,0.000002128068,0.01554061,0.0006473277,0.001496019,0.0005326677,0.00001469276,0.9130341],"genre_scores_gemma":[0.9890434,0.00603972,0.00005723337,0.00006493765,0.0009335166,0.0002684692,0.0001630896,0.00003831256,0.003391312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9302929,"threshold_uncertainty_score":0.8232363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3959558343670993,"score_gpt":0.4233027789589105,"score_spread":0.0273469445918112,"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."}}