{"id":"W4304194006","doi":"10.1038/s41598-022-19577-8","title":"Application of microtomography and petrography techniques for the characterization of porosity of synthetic carbonatic rock minerals before and after acidification processes","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Petrobras; Energi Simulation","keywords":"Petrography; Porosity; Dissolution; X-ray microtomography; Mineralogy; Geology; Characterization (materials science); Materials science; Geotechnical engineering; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003797816,0.00006424494,0.0001158133,0.000173953,0.00006249548,0.00001410728,0.00004763857,0.00001876587,9.68632e-7],"category_scores_gemma":[0.00001727965,0.00005497561,0.00003359927,0.0004081408,0.0000636492,0.00005109873,0.00001983115,0.00003092174,5.835322e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006755467,"about_ca_system_score_gemma":0.00001033911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006085064,"about_ca_topic_score_gemma":0.000002545945,"domain_scores_codex":[0.9993546,0.000006333908,0.0002827815,0.0001570185,0.0001310732,0.00006817464],"domain_scores_gemma":[0.9994817,0.00002261612,0.0001665665,0.0002150615,0.00009938471,0.00001470172],"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":[0.000005242153,0.0000194182,0.0119255,0.001044759,0.00001982218,2.358036e-7,0.000589418,0.002727133,0.9804935,0.00001285365,0.000006401707,0.003155748],"study_design_scores_gemma":[0.00005423757,0.00005014147,0.01853026,0.00008402475,0.00005957227,0.00002380058,0.00008591957,0.04342197,0.9357437,0.0007125072,0.001123934,0.0001099377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632518,0.0004578137,0.03551152,0.00001036769,0.000157985,0.0005433476,0.00002010119,0.00004010344,0.000006908549],"genre_scores_gemma":[0.9991435,0.00002784913,0.0003952316,7.54667e-7,0.000006596365,0.0003650876,0.00003915224,0.00001018911,0.00001159256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04474977,"threshold_uncertainty_score":0.224184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003143039056324571,"score_gpt":0.1822267869649621,"score_spread":0.1790837479086375,"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."}}