{"id":"W2604529719","doi":"10.1142/9789812770462_0017","title":"The North American Natural Gas Liquids Markets are Chaotic","year":2007,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Chaotic; Natural gas; Natural (archaeology); Business; Petroleum engineering; Environmental science; Computer science; Geography; Geology; Waste management; Engineering; Artificial intelligence; Archaeology","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":[0.000151273,0.0001761717,0.000143422,0.0005067606,0.0006465754,0.001773365,0.0002387169,0.0002963504,0.01237546],"category_scores_gemma":[0.000850725,0.0001740672,0.00016072,0.0007093662,0.0006282578,0.00123347,0.000323038,0.0004711535,0.0005291752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443445,"about_ca_system_score_gemma":0.001156341,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05726745,"about_ca_topic_score_gemma":0.07710541,"domain_scores_codex":[0.9999111,0.00001386235,0.000002818677,0.00001542971,0.00003947141,0.00001735106],"domain_scores_gemma":[0.9997233,0.00007405381,0.00007327346,0.00002154168,0.00008512103,0.00002271673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003626256,0.00009482916,0.05898655,0.0002384695,0.0001252067,0.001538169,0.001192548,0.06175036,0.00614503,0.6477726,0.08483741,0.1369562],"study_design_scores_gemma":[0.0001168824,0.00008636702,0.1582786,0.0002037586,0.00009099628,0.0005431608,0.003521594,0.1306184,0.005748195,0.4295189,0.2711585,0.0001145885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6588296,0.001875781,0.00853313,0.009659677,0.0001809946,0.00004366353,0.001776044,0.0002164588,0.3188847],"genre_scores_gemma":[0.9559736,0.001078881,0.001320413,0.0003810566,0.00008601927,0.00001815232,0.0004129488,0.0000263372,0.04070267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9427326,"threshold_uncertainty_score":0.1138682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189249265485677,"score_gpt":0.211189129962416,"score_spread":0.1792966373075593,"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."}}