{"id":"W6987902173","doi":"","title":"Using Drilling Data to Calculate Porosity &amp; Permeability","year":2017,"lang":"en","type":"dissertation","venue":"SHAREOK (University of Oklahoma)","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oklahoma State University","keywords":"Porosity; Permeability (electromagnetism); Drilling; Oil shale; Lithology; Petroleum reservoir; Effective porosity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002493626,0.0003494647,0.0005682089,0.0002347368,0.0003649186,0.00006281246,0.001439575,0.0003437724,0.0002751562],"category_scores_gemma":[0.0000767057,0.000505053,0.0001658325,0.0001486195,0.00003957378,0.0004049155,0.0001900108,0.0004000631,0.0000794692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001826057,"about_ca_system_score_gemma":0.00008389827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115733,"about_ca_topic_score_gemma":0.003706707,"domain_scores_codex":[0.9985155,0.00001653988,0.0002058156,0.0005722889,0.0003131789,0.0003766123],"domain_scores_gemma":[0.9976873,0.00003002754,0.0001389325,0.001801567,0.0001340326,0.0002081844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002273393,0.0001499715,0.003163048,0.007058159,0.001146405,0.0001752004,0.01048984,0.8723381,0.06066735,0.00009211064,0.007855846,0.03663662],"study_design_scores_gemma":[0.001309679,0.00006062477,0.06990371,0.0042136,0.001098595,0.00002424445,0.002585342,0.8078998,0.002257996,0.0001641739,0.1069212,0.003560982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973171,0.0004641121,0.01370234,0.00001590435,0.001572959,0.000353051,0.001159303,0.0004590563,0.009102263],"genre_scores_gemma":[0.9823384,0.0001289769,0.008472492,0.000003343045,0.0001604323,2.918921e-7,0.004256097,0.0001031547,0.004536768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09906536,"threshold_uncertainty_score":0.9997401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1015283484486956,"score_gpt":0.2830102878480432,"score_spread":0.1814819393993475,"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."}}