{"id":"W4235053564","doi":"10.2139/ssrn.1571988","title":"Lumpy Micro Investment, Asset Prices and Aggregate Implications","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Private Equity and Venture Capital","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Aggregate (composite); Asset (computer security); Investment (military); Monetary economics; Business; Economics; Computer science; Materials science; Computer security; Composite material","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":[0.0008426034,0.0002813782,0.0007005402,0.0005180239,0.0004350575,0.003401085,0.0006420932,0.001045335,0.008513718],"category_scores_gemma":[0.008839635,0.0004295316,0.000335212,0.001008866,0.001099642,0.005734242,0.001395149,0.001911083,0.0004471684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341623,"about_ca_system_score_gemma":0.0004389213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247965,"about_ca_topic_score_gemma":0.003072953,"domain_scores_codex":[0.9997191,0.00004825204,0.00001838753,0.00008283481,0.00006315981,0.00006830128],"domain_scores_gemma":[0.9959852,0.002212809,0.0008797076,0.0003390226,0.0002868279,0.0002965566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009361194,0.0003699858,0.03814681,0.000217168,0.0003033826,0.001293584,0.0005560865,0.1068115,0.004315773,0.7922578,0.004261041,0.0505308],"study_design_scores_gemma":[0.00003230071,0.0001555806,0.04804515,0.00003543677,0.0001263925,0.0002374462,0.0005150157,0.1270441,0.001087015,0.8212172,0.001467511,0.00003689574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590649,0.001711028,0.01324357,0.003399478,0.00006942311,0.00001390889,0.0003466373,0.0000892695,0.02206179],"genre_scores_gemma":[0.9965576,0.0003302545,0.000326993,0.0000415324,0.00004973939,0.000003943239,0.00003586105,0.000006929582,0.00264717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008513718,"threshold_uncertainty_score":0.02848125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008794009740063629,"score_gpt":0.226577576551857,"score_spread":0.2177835668117934,"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."}}