{"id":"W2085913793","doi":"10.17722/ijme.v2i3.109","title":"Getting More Bang for Our R&D Bucks","year":2014,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Value (mathematics); Rest (music); Emerging technologies; Business; Political science; Law and economics; Public relations; Economics; Computer science; Medicine","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":[0.01912298,0.002206499,0.001564985,0.003508043,0.005237448,0.02003331,0.002928995,0.0102171,0.174226],"category_scores_gemma":[0.04278789,0.0008083589,0.002374221,0.002578665,0.007529105,0.01822273,0.007258709,0.01701645,0.1366887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004855413,"about_ca_system_score_gemma":0.01543679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004912505,"about_ca_topic_score_gemma":0.005782817,"domain_scores_codex":[0.9841517,0.003938972,0.0007747975,0.002097817,0.006266247,0.002770377],"domain_scores_gemma":[0.9452794,0.006947611,0.00224228,0.006711759,0.01612793,0.02269097],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009072319,0.0001070766,0.0004638354,0.0001807205,0.00002545367,0.0001117548,0.0002229226,0.0001571292,0.0007439971,0.02454947,0.9052184,0.06812861],"study_design_scores_gemma":[0.0000165743,0.00004563443,0.00033857,0.0001152775,0.000007381548,0.00008384768,0.0002840062,0.00006188509,0.0002005366,0.007022448,0.9918038,0.00002002744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001326928,0.0139281,0.006485505,0.8246543,0.05554326,0.0001043861,0.0005876521,0.001661503,0.09570843],"genre_scores_gemma":[0.01982239,0.01693823,0.01357392,0.5467883,0.03400217,0.0001990568,0.0009397551,0.001950437,0.3657859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.980877,"threshold_uncertainty_score":0.582844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217521499263745,"score_gpt":0.464063685533959,"score_spread":0.3423115356075845,"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."}}