{"id":"W1856274446","doi":"10.3968/j.aped.1925543820130601.1639","title":"Reason Analysis on the Variation of Reservoir Thickness Interpretation of Different Logging Series in Sanan Development Zone","year":2013,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logging; Series (stratigraphy); Well logging; Geology; Petroleum engineering; Interpretation (philosophy); Computer science; Paleontology; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018544,0.0001730115,0.0001067088,0.001414128,0.0001769615,0.0003472533,0.0001577052,0.00009933737,0.0007671359],"category_scores_gemma":[0.001246567,0.0001180132,0.0001796146,0.0007929757,0.0002484645,0.0003959604,0.0002311687,0.0001269171,0.00008797212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096105,"about_ca_system_score_gemma":0.0002056108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00289615,"about_ca_topic_score_gemma":0.006068459,"domain_scores_codex":[0.9997746,0.00003112121,0.00002645546,0.00004375542,0.00009607605,0.00002800149],"domain_scores_gemma":[0.9991775,0.0002535898,0.0001884088,0.00006693378,0.0002837983,0.00002966675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004755066,0.00004099789,0.7876429,0.0001335179,0.00005029811,0.0007571274,0.002197259,0.01775471,0.06781589,0.001505445,0.000661846,0.1209645],"study_design_scores_gemma":[0.000009980228,0.00007516626,0.9076611,0.00002333134,0.00008102088,0.0003760582,0.001805988,0.05645953,0.03079269,0.0006969091,0.001979165,0.00003914724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938159,0.00003413789,0.004999029,0.00001424989,0.000003776114,0.000004997827,0.0001349326,0.00006534375,0.0009275845],"genre_scores_gemma":[0.9976113,0.00002425434,0.001842236,0.000002295662,0.000001949935,0.000002928813,0.0001393302,0.00001003443,0.0003658692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00289615,"threshold_uncertainty_score":0.005758524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102982979005853,"score_gpt":0.2256750785055468,"score_spread":0.2153767806049615,"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."}}