{"id":"W2099601146","doi":"10.1111/j.1468-5957.2010.02232.x","title":"Getting Real with Real Options: A Utility–Based Approach for Finite–Time Investment in Incomplete Markets","year":2011,"lang":"en","type":"article","venue":"Journal of Business Finance &amp Accounting","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Investment (military); Flexibility (engineering); Asset (computer security); Economics; Risk aversion (psychology); Value (mathematics); Microeconomics; Financial market; Econometrics; Net present value; Incomplete markets; Actuarial science; Financial economics; Finance; Computer science; Expected utility hypothesis; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001839071,0.0002573786,0.0007851331,0.0007768835,0.0001667751,0.0001122358,0.000336719,0.0001230339,0.00007031147],"category_scores_gemma":[0.0002632464,0.0002384763,0.0002156673,0.001003767,0.0001029683,0.0008568895,0.00005423589,0.0002460927,0.00001436114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001680685,"about_ca_system_score_gemma":0.0001113248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006446001,"about_ca_topic_score_gemma":0.00008316242,"domain_scores_codex":[0.9976901,0.00002817676,0.001374554,0.0003743358,0.0001141642,0.000418703],"domain_scores_gemma":[0.9972345,0.0001349097,0.001955024,0.0002943154,0.0003259402,0.00005532942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001925775,0.002232913,0.8813281,0.0007644453,0.0004716854,0.00007385889,0.003072261,0.01572926,0.0002111777,0.09067275,0.001157203,0.002360575],"study_design_scores_gemma":[0.003685022,0.0001686045,0.7557354,0.0004415863,0.0001090471,0.00002694021,0.0002427828,0.2162653,0.00005888606,0.01855825,0.003884528,0.0008236454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697293,0.003198949,0.02148918,0.0001770499,0.0001615161,0.0003828699,0.00005493941,0.00002253325,0.004783662],"genre_scores_gemma":[0.8978742,0.001944992,0.099303,0.0002533522,0.0002520421,0.00005370495,0.00004346391,0.00005193316,0.0002233394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2005361,"threshold_uncertainty_score":0.9724782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05791936140835412,"score_gpt":0.221420124852391,"score_spread":0.1635007634440369,"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."}}