{"id":"W3122940329","doi":"","title":"Value Maximizing Hurdle Rates for R&D Investment","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Downside risk; Investment (military); Value (mathematics); Economics; Investment value; Microeconomics; Value at risk; Control (management); Risk management; Actuarial science; Financial economics; Finance; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002739493,0.000908195,0.000951144,0.0009272445,0.0008049123,0.003371659,0.0009870285,0.001322547,0.006863482],"category_scores_gemma":[0.02378052,0.0004305606,0.0009953992,0.0005099839,0.001681684,0.003930765,0.001812057,0.002180093,0.001306176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728411,"about_ca_system_score_gemma":0.0009346558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006440403,"about_ca_topic_score_gemma":0.0003916507,"domain_scores_codex":[0.9984665,0.000447689,0.00005910055,0.0003277262,0.0003229756,0.0003760121],"domain_scores_gemma":[0.9886741,0.006662831,0.001895904,0.001026834,0.0009282202,0.0008121363],"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":[0.0001252102,0.00004891139,0.001568732,0.0001597893,0.00002378224,0.0001630153,0.0002373766,0.03411487,0.004823423,0.9347523,0.003082087,0.02090044],"study_design_scores_gemma":[0.00005731783,0.0001939083,0.003476532,0.0001936105,0.00005354376,0.0006739841,0.0001721519,0.1474675,0.006678813,0.830308,0.01062912,0.00009543815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.428276,0.009446676,0.3183907,0.004394376,0.0004298219,0.0001570611,0.0004363705,0.0006835408,0.2377855],"genre_scores_gemma":[0.9719011,0.002340671,0.01251846,0.0002289017,0.0001975566,0.0001001875,0.00008719311,0.0001154319,0.01251048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006863482,"threshold_uncertainty_score":0.0229606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447500382524454,"score_gpt":0.2446938549243977,"score_spread":0.2202188510991532,"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."}}