{"id":"W4210378879","doi":"10.1190/int-2021-0152.1","title":"Evaluation method of hydrocarbon yield of source rocks in open, semiopen, and closed systems: A case study on the K1qn Formation, northern Songliao Basin, China","year":2022,"lang":"en","type":"article","venue":"Interpretation","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"National Natural Science Foundation of China","keywords":"Source rock; Hydrocarbon; Geology; Kerogen; Yield (engineering); Cracking; Fossil fuel; Basin modelling; Structural basin; Petroleum engineering; Mineralogy; Geochemistry; Chemistry; Geomorphology; Engineering; Thermodynamics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267898,0.0004497512,0.0003647442,0.002470021,0.0007827246,0.0008996556,0.0006053367,0.0004522331,0.0008480957],"category_scores_gemma":[0.00194538,0.0002049805,0.0005963376,0.001908881,0.0008571534,0.001194473,0.0009218297,0.0002775066,0.00005951547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002147682,"about_ca_system_score_gemma":0.0007780315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0540263,"about_ca_topic_score_gemma":0.0559881,"domain_scores_codex":[0.9993697,0.00008869768,0.0000679344,0.000142355,0.000239965,0.00009146117],"domain_scores_gemma":[0.9988664,0.0003588979,0.0001595368,0.000091508,0.000428778,0.00009480246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006236568,0.0003336673,0.751292,0.0005760143,0.0001692091,0.005463842,0.002931447,0.103572,0.03466136,0.003864541,0.0008732719,0.0956389],"study_design_scores_gemma":[0.00006019353,0.000528451,0.5627713,0.00005616912,0.0001862269,0.0006557521,0.006201385,0.39408,0.03032565,0.002867556,0.002139767,0.0001274923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962925,0.0000830848,0.002552734,0.00002161021,0.000002153059,0.00004095652,0.0001747057,0.00002395009,0.0008082546],"genre_scores_gemma":[0.9975206,0.00006979645,0.001851769,0.000002410239,0.000001645742,0.00001767073,0.0001423939,0.00000615306,0.0003874232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0540263,"threshold_uncertainty_score":0.1074237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0285329315494204,"score_gpt":0.2902526076950723,"score_spread":0.2617196761456519,"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."}}