{"id":"W4381250978","doi":"10.1038/s41598-023-35259-5","title":"Early porosity generation in organic-sulfur-rich mudstones","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Geological Survey of Canada; Natural Resources Canada; Alberta Energy","funders":"Natural Resources Canada","keywords":"Kerogen; Maturity (psychological); Petrophysics; Porosity; Diagenesis; Geology; Organic matter; Sulfur; Pyrolysis; Mineralogy; Source rock; Geochemistry; Chemistry; Paleontology; Organic chemistry; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00008384599,0.0001519655,0.0001477021,0.0007050611,0.0002057575,0.0004008525,0.0001341253,0.0001244797,0.0004813789],"category_scores_gemma":[0.0002282169,0.000149713,0.0001197887,0.0002975721,0.0004270741,0.0001745339,0.0003296442,0.0001363987,0.0000615498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002858546,"about_ca_system_score_gemma":0.0002229708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004063727,"about_ca_topic_score_gemma":0.007606704,"domain_scores_codex":[0.9999284,0.000004323986,0.000004401748,0.00002073216,0.00001867648,0.00002345528],"domain_scores_gemma":[0.9998139,0.00002587002,0.0000601321,0.00001150528,0.00004108885,0.00004743676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000274524,0.00001544178,0.1378073,0.00003799331,0.00001799977,0.000208919,0.0003473647,0.0003738752,0.8569916,0.0001312144,0.00001928316,0.003774571],"study_design_scores_gemma":[0.000003569524,0.0001408825,0.8698192,0.000004710235,0.00001382919,0.0001621414,0.0003097981,0.0006869495,0.1283279,0.00005151748,0.0004702327,0.000009204953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995866,0.0000187949,0.0001591594,9.283607e-7,3.523159e-7,0.000002382794,0.00005563802,0.000005389657,0.0001705785],"genre_scores_gemma":[0.9995104,0.00001477497,0.0001516069,0.000001667817,3.405533e-7,0.000002170416,0.00009639212,0.000002541353,0.0002200128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004063727,"threshold_uncertainty_score":0.008080125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188885355128859,"score_gpt":0.2294689899788802,"score_spread":0.2105804544659943,"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."}}