{"id":"W3157184388","doi":"","title":"The Comparison of Basic Science Research Capacity of OECD Countries","year":2003,"lang":"en","type":"article","venue":"기술혁신연구","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Lag; Geography; Economics; Econometrics; Demographic economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002887877,0.0000481234,0.0001392509,0.0001973778,0.0004733212,0.00004834214,0.001763732,0.0000443532,0.00001733414],"category_scores_gemma":[0.0005109555,0.00003272838,0.00003064171,0.001173536,0.002451975,0.000252232,0.0002489245,0.0001832432,0.00004943032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002340329,"about_ca_system_score_gemma":0.0001944369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006772635,"about_ca_topic_score_gemma":0.00004604386,"domain_scores_codex":[0.9986264,0.0001212759,0.0002070262,0.0002098408,0.0005764643,0.0002589823],"domain_scores_gemma":[0.9982312,0.0003693954,0.00009227593,0.0009653825,0.0003098826,0.00003186633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002439773,0.00004294567,0.02008928,0.000006937502,0.000009020139,4.386743e-7,0.0004187781,0.00001383162,0.003880352,0.9716864,0.001534596,0.002315048],"study_design_scores_gemma":[0.0002001421,0.000173259,0.01393567,0.00001726727,0.00001158924,0.000005147404,0.000574915,0.007766742,0.8703144,0.0521162,0.05475233,0.0001323454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347959,0.0007684706,0.0537223,0.001280214,0.0002176342,0.0001290544,0.000009636296,0.00006493316,0.009011889],"genre_scores_gemma":[0.9959605,0.00002237871,0.00392349,0.00001362082,0.000003530739,0.000002841269,1.936525e-7,0.000001282912,0.00007220513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9195701,"threshold_uncertainty_score":0.9034405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08465945222868385,"score_gpt":0.3746106818337544,"score_spread":0.2899512296050706,"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."}}