{"id":"W2969627001","doi":"10.1016/j.mex.2019.08.013","title":"A working method for estimating dynamic shear velocity in the montney formation","year":2019,"lang":"en","type":"article","venue":"MethodsX","topic":"Hydraulic Fracturing and Reservoir Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Lithology; Geology; Bivariate analysis; Shear (geology); Well logging; Sonic logging; Dipole; Mineralogy; Soil science; Statistics; Petroleum engineering; Mathematics; Petrology; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002411952,0.0001101194,0.0002026975,0.000110589,0.00006197872,0.00004669145,0.0001932572,0.00007357448,0.000009970429],"category_scores_gemma":[0.0001774356,0.000079029,0.0001037644,0.0002744935,0.000007496744,0.0001089508,0.00001736998,0.0002128767,0.0000110908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007455747,"about_ca_system_score_gemma":0.000005908385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006467415,"about_ca_topic_score_gemma":0.00004435776,"domain_scores_codex":[0.9990602,0.0002214097,0.0002295051,0.0001277973,0.0001310499,0.000230057],"domain_scores_gemma":[0.9989457,0.0007374126,0.00003670203,0.0002422734,0.00001462754,0.00002332956],"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":[0.00000352333,0.000005001907,0.00004591354,0.00009313213,0.00001909161,6.616204e-7,0.00189035,0.837677,0.0004215903,0.00001601627,0.0000410999,0.1597866],"study_design_scores_gemma":[0.0001859899,0.000009341761,0.0005272446,0.00004796667,0.00002174534,0.000003505917,0.0003546584,0.9950784,0.0005056752,0.001139076,0.002021652,0.0001046754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03243358,0.0001344644,0.9652085,0.0001892966,0.0002481578,0.0002710159,0.000001080269,0.00009196471,0.001421921],"genre_scores_gemma":[0.2832813,0.000004577213,0.7164806,0.00005238828,0.00003823148,0.00004822527,0.000006156265,0.00001525184,0.00007329855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2508478,"threshold_uncertainty_score":0.3222709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945044249137857,"score_gpt":0.3124168778785689,"score_spread":0.2929664353871904,"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."}}