{"id":"W4403129697","doi":"10.1007/s40789-024-00727-4","title":"Coupled THMC model-based prediction of hydraulic fracture geometry and size under self-propping phase-transition fracturing","year":2024,"lang":"en","type":"article","venue":"International Journal of Coal Science & Technology","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Hydraulic fracturing; Fracture (geology); Geology; Geotechnical engineering; Phase transition; Phase (matter); Geometry; Mechanics; Mineralogy; Thermodynamics; Physics; Mathematics","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":[0.0002970072,0.0005061431,0.0005522439,0.0005478361,0.000369207,0.0005660637,0.0007802979,0.001292772,0.001302487],"category_scores_gemma":[0.001127231,0.0003371258,0.0005357241,0.0003230805,0.0005601002,0.0004972806,0.0004471204,0.0006028457,0.0001183074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007231078,"about_ca_system_score_gemma":0.00109823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02502227,"about_ca_topic_score_gemma":0.01542536,"domain_scores_codex":[0.999907,0.00002128423,0.000004642348,0.00001830015,0.00002837146,0.00002036065],"domain_scores_gemma":[0.9993844,0.0003740664,0.00006830975,0.00003074997,0.0001052777,0.00003714177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008583552,0.00001109632,0.0004997339,0.000008656402,0.000003212321,0.00001696017,0.000008853362,0.9976577,0.0005731056,0.0001992711,0.00003471627,0.0009782034],"study_design_scores_gemma":[7.645386e-7,0.00000175321,0.00005384734,5.669509e-7,5.159588e-7,0.000001061636,0.000001795564,0.9998004,0.0000920333,0.00003619879,0.00001034097,7.83318e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7123107,0.0001967154,0.2802302,0.0001850296,0.00003482989,0.00008582925,0.0003141513,0.0005602543,0.006082306],"genre_scores_gemma":[0.9905428,0.00004105248,0.008605241,0.000009381699,0.000002852579,0.00003520159,0.00006884517,0.00001718956,0.0006774106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02502227,"threshold_uncertainty_score":0.04975325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006078297268693692,"score_gpt":0.2535905265166193,"score_spread":0.2475122292479257,"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."}}