{"id":"W4394748779","doi":"10.1007/s00603-024-03860-3","title":"Novel Sub-core Extraction Method Using CNC Milling for Water-Sensitive and Fragile Rock","year":2024,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geomechanica (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Core (optical fiber); Extraction (chemistry); Geology; Materials science; Composite material; Chromatography; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000317795,0.000570552,0.00061007,0.0007213291,0.0003584066,0.000413483,0.000723356,0.0005082365,0.002063438],"category_scores_gemma":[0.0004495423,0.0004520712,0.0003502921,0.000498177,0.0004037401,0.001107716,0.0005724372,0.0007760496,0.0009624937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311968,"about_ca_system_score_gemma":0.0005272615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007234538,"about_ca_topic_score_gemma":0.00245053,"domain_scores_codex":[0.9995826,0.00001410258,0.00001978393,0.00009213257,0.0002585502,0.00003283034],"domain_scores_gemma":[0.9997063,0.0000715091,0.00004477922,0.0000387601,0.000122994,0.0000155528],"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":[0.00007042753,0.000031949,0.0004771682,0.0002919257,0.00001280976,0.0001459178,0.00007793944,0.0006260669,0.9514762,0.0008198451,0.000914078,0.04505569],"study_design_scores_gemma":[0.00001777704,0.0001246734,0.001914854,0.00001336889,0.00003462776,0.0004782467,0.00005620855,0.01904462,0.9665731,0.0003631687,0.01134102,0.00003828556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2444438,0.002944724,0.7402558,0.0003569899,0.0004051016,0.0003024041,0.0003736875,0.001431996,0.009485546],"genre_scores_gemma":[0.6123476,0.001666985,0.3708009,0.0002807733,0.0001367086,0.0001892338,0.000549099,0.000232021,0.01379672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002063438,"threshold_uncertainty_score":0.006902814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656239134571138,"score_gpt":0.2387017844357779,"score_spread":0.2221393930900665,"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."}}