{"id":"W1969299028","doi":"10.1109/geoinformatics.2011.5980845","title":"The analysis of allocation efficiency of R&D resource and its determinants — An empirical study of panel data from 31 countries","year":2011,"lang":"en","type":"article","venue":"","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Frontier; Stochastic frontier analysis; Economics; Panel data; Elasticity (physics); Output elasticity; Income elasticity of demand; China; Labour economics; Econometrics; Microeconomics; Production (economics); Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003333198,0.0002928154,0.0007549248,0.001615527,0.000371129,0.001013908,0.0004617982,0.0005686041,0.001811818],"category_scores_gemma":[0.00760112,0.0003448811,0.0009510262,0.003907899,0.0004098453,0.0007663833,0.0007207635,0.00077356,0.0005435417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005333897,"about_ca_system_score_gemma":0.0003690052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007868762,"about_ca_topic_score_gemma":0.005068936,"domain_scores_codex":[0.9977849,0.001102343,0.0001642095,0.0004103389,0.0002903324,0.00024777],"domain_scores_gemma":[0.9797391,0.01222469,0.005091294,0.00165043,0.0008839242,0.0004106944],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002300956,0.0001446581,0.9298965,0.0001027748,0.001031517,0.0002551333,0.0002475157,0.04994056,0.0007048073,0.001743336,0.001762878,0.01394013],"study_design_scores_gemma":[0.000022099,0.0001302684,0.9731381,0.00003403308,0.00014979,0.0002151138,0.0003639548,0.02113869,0.0009991919,0.0006643243,0.00311083,0.00003361106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921896,0.0003893454,0.002613953,0.00009970136,0.000004316966,0.0000133036,0.003677789,0.00001712715,0.0009949056],"genre_scores_gemma":[0.9902639,0.0002054561,0.000614095,0.00001821189,0.000007485528,0.00002243611,0.008512357,0.000005641112,0.0003503388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9966668,"threshold_uncertainty_score":0.01762784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3594295072051648,"score_gpt":0.4507414665721764,"score_spread":0.09131195936701164,"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."}}