{"id":"W3094885173","doi":"10.2118/204227-pa","title":"Characterization of the Microstructure of the Cement/Casing Interface Using ESEM and Micro-CT Scan Techniques","year":2020,"lang":"en","type":"article","venue":"SPE Journal","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Casing; Environmental scanning electron microscope; Cement; Microstructure; Materials science; Shrinkage; Characterization (materials science); Composite material; Petroleum engineering; Scanning electron microscope; Geology; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006579189,0.00007543652,0.0001029383,0.00002289207,0.00005093844,0.00002805077,0.0001206648,0.00002133126,0.000006597434],"category_scores_gemma":[0.00001183404,0.00004820238,0.00004416663,0.0001155103,0.00002752827,0.00006046183,0.00004184425,0.0002044169,9.240001e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002505889,"about_ca_system_score_gemma":0.00001102503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002609234,"about_ca_topic_score_gemma":4.304937e-7,"domain_scores_codex":[0.9995944,0.00001354019,0.000180573,0.00004601263,0.00007924594,0.00008615207],"domain_scores_gemma":[0.9997888,0.000004938857,0.00008302407,0.0000732225,0.00002320639,0.00002676221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001966563,0.000001116654,0.001038412,0.00005924726,0.00001624623,3.642017e-7,0.0004002693,0.01365347,0.9833632,0.000003196591,0.00001083259,0.001451645],"study_design_scores_gemma":[0.00006629443,0.000007869096,0.002452712,0.0002480097,0.00001725406,0.00009571148,0.00004060403,0.04146576,0.9549239,0.00001633429,0.0006116707,0.00005391803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775219,0.0001920286,0.0217447,0.0001415029,0.0002641322,0.00005772082,0.000006968095,0.0000209743,0.00005008159],"genre_scores_gemma":[0.9979806,0.00007571358,0.001793805,0.00002030773,0.0001071397,1.144659e-7,2.920387e-7,0.0000163524,0.000005693795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02843937,"threshold_uncertainty_score":0.1965636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008064495370386119,"score_gpt":0.197240363412951,"score_spread":0.1891758680425649,"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."}}