{"id":"W2897534877","doi":"10.5430/ijhe.v7n5p167","title":"Investigating the Performance of Japan’s Competitive Grant Grants-in-Aid for Scientific Research System","year":2018,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Research policy; Grant funding; Competitive advantage; Systems research; Political science; Business; Marketing; Public administration; Finance; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02099649,0.0003920393,0.0008441697,0.004064301,0.001940123,0.00625366,0.001214054,0.001125493,0.002446752],"category_scores_gemma":[0.0597173,0.0003553339,0.0004075415,0.006784997,0.001597593,0.002835188,0.002958993,0.0008995112,0.0005293997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00696783,"about_ca_system_score_gemma":0.009097203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05305021,"about_ca_topic_score_gemma":0.05280781,"domain_scores_codex":[0.9865878,0.003875304,0.001546818,0.001467744,0.003062767,0.003459505],"domain_scores_gemma":[0.9003865,0.02047607,0.03243271,0.003867469,0.02845402,0.01438322],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004456996,0.0001635099,0.9528871,0.0001971996,0.0002166337,0.000322068,0.002829405,0.003432055,0.001428768,0.01231935,0.003372025,0.02238627],"study_design_scores_gemma":[0.00006297615,0.000320933,0.9821014,0.00002916066,0.000106527,0.0001107383,0.004732791,0.005106029,0.0004890093,0.001230761,0.00565543,0.00005423388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988072,0.0005309616,0.0005051023,0.001113435,0.00002429827,0.00006294844,0.0005864176,0.00002645255,0.009078314],"genre_scores_gemma":[0.9984407,0.0001177893,0.0003174084,0.00009290854,0.00002261623,0.00003238174,0.0003645773,0.000007128468,0.0006045023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9790035,"threshold_uncertainty_score":0.1110414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102873385707872,"score_gpt":0.36103954743554,"score_spread":0.258166161727668,"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."}}