{"id":"W2592605825","doi":"","title":"Micro-CT Characterization of Pore-size Distribution and Effects on Matrix Acidizing","year":2016,"lang":"en","type":"article","venue":"OakTrust (Texas A&M University Libraries)","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alzheimer Society Research Program","keywords":"Characterization (materials science); Matrix (chemical analysis); Mineralogy; Materials science; Geology; Composite material; Nanotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002523546,0.000184306,0.0001692162,0.0005827672,0.0001783731,0.0003419628,0.0002074584,0.0002417799,0.001461437],"category_scores_gemma":[0.0005568619,0.0001543328,0.000155181,0.0003986126,0.0002965983,0.0002861335,0.0001212525,0.0003076879,0.0001423269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002483044,"about_ca_system_score_gemma":0.0001969753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002823931,"about_ca_topic_score_gemma":0.005072983,"domain_scores_codex":[0.9998272,0.000008128563,0.000009669215,0.00003436944,0.00009527722,0.00002538317],"domain_scores_gemma":[0.999634,0.000126666,0.00007535204,0.00002165429,0.0001158213,0.00002645171],"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":[0.00006775219,0.00001249401,0.003364411,0.00005007323,0.000005317192,0.00008377904,0.00007006378,0.0006865005,0.9927153,0.0000973428,0.00004784538,0.002799099],"study_design_scores_gemma":[0.000004508669,0.00009584801,0.0435026,0.00001100799,0.000019702,0.0002501918,0.0001610886,0.007237372,0.947629,0.00004991558,0.001025948,0.00001283583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898929,0.000502522,0.006970088,0.00003033988,0.000007017834,0.00003156871,0.0004627055,0.0001038678,0.001999144],"genre_scores_gemma":[0.9917483,0.0002928627,0.006434568,0.0000186552,0.000003058895,0.00003243292,0.0002688549,0.00003310608,0.001168214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002823931,"threshold_uncertainty_score":0.005614996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002701274687275735,"score_gpt":0.144700913643978,"score_spread":0.1419996389567023,"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."}}