{"id":"W2789413697","doi":"10.2118/189825-ms","title":"Estimation of Petrophysical Properties of Tight Rocks from Drill Cuttings Using Image Analysis: An Integrated Laboratory-Based Approach","year":2018,"lang":"en","type":"article","venue":"","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Calgary","funders":"Multiple System Atrophy Coalition; University of Calgary","keywords":"Petrophysics; Geology; Drill cuttings; Mineralogy; Permeability (electromagnetism); Porosity; Core sample; Geotechnical engineering; Petrology; Drilling; Core (optical fiber); Materials science; Composite material; Drilling fluid","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008665631,0.0001613799,0.000328804,0.0002158798,0.00002781655,0.00002400639,0.0001184427,0.00007014888,0.00001934592],"category_scores_gemma":[0.00002289452,0.0001335592,0.00007713691,0.0007619243,0.00007394014,0.0002002921,0.00001016754,0.00009478231,0.000003835491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003609784,"about_ca_system_score_gemma":0.00002674541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003216867,"about_ca_topic_score_gemma":0.000007095044,"domain_scores_codex":[0.9991877,0.00002258183,0.0003066484,0.0001686096,0.0001633951,0.0001510521],"domain_scores_gemma":[0.9994377,0.00001307981,0.00005827349,0.0002532979,0.0001828793,0.00005475085],"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":[0.000007219695,0.00003323721,0.00009947816,0.00006196057,0.0001339511,1.831143e-7,0.0002234261,0.7420475,0.257159,0.00001060085,0.000006576648,0.000216858],"study_design_scores_gemma":[0.00008948873,0.00002315429,0.0000531127,0.00003855964,0.0001282977,5.495462e-8,0.00006438988,0.6102464,0.3892509,0.000003225652,0.000009581403,0.00009275547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4938729,0.00002094411,0.5057913,9.572796e-7,0.0000267827,0.00003410756,0.00001094195,0.0001368373,0.0001052355],"genre_scores_gemma":[0.887069,7.108317e-7,0.1127793,0.000003972611,0.0000569106,0.000002755683,0.00005298362,0.00002863676,0.0000056948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3931961,"threshold_uncertainty_score":0.5446386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009376567752554318,"score_gpt":0.2004962548159943,"score_spread":0.1911196870634399,"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."}}