{"id":"W1963737229","doi":"10.1002/nav.20327","title":"Natural gas storage valuation and optimization: A real options application","year":2009,"lang":"en","type":"article","venue":"Naval Research Logistics (NRL)","topic":"Capital Investment and Risk Analysis","field":"Economics, Econometrics and Finance","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Queen's University","funders":"","keywords":"Straddle; Valuation (finance); Natural gas storage; Natural gas; Computer science; Variable (mathematics); Operations research; Mathematical optimization; Mathematics; Economics; Finance; Engineering; Waste management","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":[0.001231903,0.0001136406,0.0002152142,0.0004220498,0.0003244637,0.0002201409,0.0001760582,0.0001117827,0.0001207698],"category_scores_gemma":[0.0005248219,0.0001200402,0.00006590821,0.0006144803,0.0001800155,0.0002239105,0.00005687742,0.0003108666,0.0002588336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002056776,"about_ca_system_score_gemma":0.00003552028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005957356,"about_ca_topic_score_gemma":0.00004811892,"domain_scores_codex":[0.9986672,0.00005525606,0.0003777147,0.0004005993,0.0001743559,0.0003248522],"domain_scores_gemma":[0.9990535,0.0001308694,0.0001267983,0.0003012259,0.0002585409,0.0001290272],"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":[0.00001735725,0.0001021511,0.0006379646,0.000009046212,0.00002435819,0.000002522958,0.0001730096,0.01319966,0.0001241642,0.9823291,0.001149072,0.002231642],"study_design_scores_gemma":[0.0002731238,0.0001326083,0.01122983,0.000004979669,0.00001063013,0.000001834222,0.0000762737,0.6272408,0.00001814441,0.3599978,0.0008661324,0.000147823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.213131,0.08367068,0.5831833,0.02165055,0.0009120938,0.004386219,0.0004839804,0.0004863318,0.09209584],"genre_scores_gemma":[0.9788623,0.01231152,0.006763159,0.00008383195,0.0001931047,0.00004698732,0.0002160547,0.00001244904,0.001510628],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7657313,"threshold_uncertainty_score":0.4895096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1242354701882944,"score_gpt":0.3526307477985806,"score_spread":0.2283952776102862,"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."}}