{"id":"W2161410734","doi":"10.1111/j.1540-6229.2010.00291.x","title":"Integrating Illiquid Assets into the Portfolio Decision Process","year":2011,"lang":"en","type":"article","venue":"Real Estate Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph","funders":"","keywords":"Market liquidity; Portfolio; Economics; Real estate; Asset (computer security); Business; Monetary economics; Financial economics; Finance; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012241,0.0003021205,0.000523733,0.0002130332,0.0002985666,0.0001774961,0.0006367288,0.0001684058,0.0005105156],"category_scores_gemma":[0.0001296503,0.000286294,0.0001843355,0.0001658923,0.0001414617,0.000610003,0.000132209,0.0002846103,0.0008685965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686522,"about_ca_system_score_gemma":0.000088628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002841781,"about_ca_topic_score_gemma":0.001384336,"domain_scores_codex":[0.9976882,0.00001819557,0.001144012,0.0006185275,0.00002168437,0.0005093385],"domain_scores_gemma":[0.9983411,0.0001360439,0.0006789273,0.0006347318,0.00004349242,0.0001656873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004046805,0.000299335,0.1606872,0.00008249267,0.0001969072,0.00002664049,0.03237427,0.001232718,0.000008879968,0.2672442,0.001198269,0.5362444],"study_design_scores_gemma":[0.002213885,0.0005440066,0.04912707,0.0001034597,0.00005799568,0.00008417811,0.005421787,0.06710524,0.0006688031,0.7044613,0.1674654,0.00274685],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6304923,0.00003245724,0.0008391193,0.00008869317,0.0006079702,0.0001651428,0.00002127666,0.00006028501,0.3676927],"genre_scores_gemma":[0.9827378,0.01142385,0.005069179,0.0001795145,0.0001904658,0.00004003412,0.00002811542,0.00008646416,0.0002445184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5334976,"threshold_uncertainty_score":0.9999589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214312551837106,"score_gpt":0.2354371561745124,"score_spread":0.2032940306561414,"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."}}