{"id":"W2767906816","doi":"10.2118/188786-ms","title":"Improving Pore Network Imaging & Characterization of Microporous Carbonate Rocks Using Multi-Scale Imaging Techniques","year":2017,"lang":"en","type":"article","venue":"","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology","keywords":"Microporous material; Characterization (materials science); Scanning electron microscope; Materials science; Dolomite; Confocal laser scanning microscopy; Mineralogy; Carbonate; Microscopy; Geology; Nanotechnology; Composite material; Biomedical engineering; Optics; Metallurgy","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":[0.0002418712,0.0002786007,0.0001505241,0.0006231804,0.0001302938,0.0003521278,0.0003148375,0.000347944,0.0007108387],"category_scores_gemma":[0.0004257975,0.0001452811,0.0001570111,0.0001967835,0.0002244241,0.0004867959,0.0003035236,0.0003055169,0.0001950111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002047034,"about_ca_system_score_gemma":0.0001680461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007683892,"about_ca_topic_score_gemma":0.001804944,"domain_scores_codex":[0.9998267,0.00001105795,0.00001015972,0.00004175655,0.00008711872,0.00002322865],"domain_scores_gemma":[0.9996113,0.0001165225,0.0001019666,0.00005002335,0.00009606173,0.00002414445],"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":[0.000007383683,0.000008996964,0.0006261836,0.00003737237,0.000001920618,0.00003704408,0.00001799232,0.0004976063,0.9943194,0.0001049252,0.00002285901,0.004318324],"study_design_scores_gemma":[0.000001745049,0.00002749819,0.005434229,0.000004714222,0.000005056001,0.0001754693,0.00002956367,0.02354366,0.9697272,0.00006007721,0.0009825414,0.000008145087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8486229,0.0004603389,0.1481345,0.00005999128,0.00001517014,0.000049827,0.0003293802,0.0005572581,0.001770713],"genre_scores_gemma":[0.8904055,0.0002115498,0.1084341,0.00001741638,0.00000722443,0.00003672922,0.0001577341,0.00004400853,0.0006856659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007683892,"threshold_uncertainty_score":0.002377987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364449024336693,"score_gpt":0.2459242445454153,"score_spread":0.2322797543020484,"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."}}