{"id":"W2981376685","doi":"10.4095/296311","title":"Acquisition, processing, and interpretation of gravity drill hole data","year":2014,"lang":"en","type":"report","venue":"","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Drill; Drill hole; Interpretation (philosophy); Geology; Computer science; Geophysics; Geodesy; Engineering; Mechanical engineering; Programming language","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":[0.0008365806,0.0001837922,0.0003632178,0.0001436708,0.00001956299,0.00003996331,0.0002253829,0.0002093725,0.00003298108],"category_scores_gemma":[0.0001910593,0.0001720685,0.00003221786,0.0001032605,0.00002783726,0.0001644029,0.00008793329,0.0001792936,0.000002400335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003653866,"about_ca_system_score_gemma":0.00005712174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000037621,"about_ca_topic_score_gemma":0.00000864497,"domain_scores_codex":[0.9989172,0.00003117488,0.0003789858,0.0002377917,0.0003182336,0.0001165859],"domain_scores_gemma":[0.9989689,0.00007341994,0.00008993373,0.0005880079,0.0002248461,0.00005487555],"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":[0.000006447126,0.00001200684,0.0006833972,0.004808676,0.00009698471,0.000001311137,0.0001515459,0.8801408,0.000239981,0.00003491677,0.01768685,0.09613709],"study_design_scores_gemma":[0.0001105318,0.00001174439,0.001107051,0.0002532086,0.00004225232,0.000005264647,0.00000628806,0.9613724,0.0001590999,0.0001330608,0.03661089,0.0001881601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005706986,0.002052078,0.9673179,0.000009083689,0.0004646593,0.0001261018,0.00006797004,0.0002906498,0.02396457],"genre_scores_gemma":[0.9637644,0.0006513511,0.03335075,0.000005944109,0.0002231237,0.000006865758,0.000749708,0.00006452121,0.001183346],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9580574,"threshold_uncertainty_score":0.7016752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622284572008635,"score_gpt":0.3315016632606214,"score_spread":0.295278817540535,"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."}}