{"id":"W2884469037","doi":"","title":"Next Generation LWD NMR for Slim Holes","year":2018,"lang":"en","type":"article","venue":"","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"ConocoPhillips (Canada)","funders":"","keywords":"Geology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002602592,0.00004708862,0.00004273125,0.00001059434,0.000156304,0.00004625581,0.00005301639,0.00001134321,0.0009012774],"category_scores_gemma":[6.700865e-7,0.0000407908,0.00003325248,0.00004037967,0.00003200839,0.00007691999,0.000008935438,0.00001913012,0.0001934957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000415981,"about_ca_system_score_gemma":0.00001322261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003090188,"about_ca_topic_score_gemma":0.000009391254,"domain_scores_codex":[0.9996988,0.000003004625,0.00006710533,0.000106289,0.00002822967,0.00009657323],"domain_scores_gemma":[0.9997865,0.000009375336,0.00002126773,0.0001145777,0.00004328233,0.00002500219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002080161,0.00004307732,0.000774939,8.881381e-7,0.000010642,4.820101e-9,0.00004999112,0.000002508737,0.1621342,0.7997754,0.02719705,0.01000918],"study_design_scores_gemma":[0.0003450865,0.00008160312,0.0003534805,0.000002649123,0.00001902677,1.006847e-7,0.0002111834,0.0105958,0.7400287,0.04427806,0.2039164,0.0001679208],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2842627,0.000008117116,0.6487859,0.0008300835,0.00008931803,0.0002554245,0.00002172905,0.00003903966,0.06570764],"genre_scores_gemma":[0.9835081,3.805946e-7,0.01040803,0.0001283562,0.002007234,0.0001041741,0.00005349335,0.000006206376,0.003784071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7554974,"threshold_uncertainty_score":0.9868356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03807387938002485,"score_gpt":0.3515433575765207,"score_spread":0.3134694781964958,"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."}}