{"id":"W1586258642","doi":"10.3997/1365-2397.25.1109.27514","title":"Development of a borehole gravimeter for mining applications","year":2007,"lang":"en","type":"article","venue":"First Break","topic":"Geophysics and Sensor Technology","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gravimeter; Borehole; Geology; Telmatology; Palaeogeography; Metamorphic petrology; Sensitivity (control systems); Remote sensing; Igneous petrology; Regional geology; Hydrogeology; Geodesy; Mining engineering; Seismology; Engineering geology; Geophysics; Engineering; Geotechnical engineering; Volcanism; Tectonics; Electronic engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001440499,0.0006750141,0.0004423597,0.0009803533,0.0003727269,0.000579486,0.00123213,0.001202327,0.001932393],"category_scores_gemma":[0.001370754,0.0005584352,0.0003432154,0.000804002,0.0003603036,0.001427743,0.0008553051,0.001095538,0.001337488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003530973,"about_ca_system_score_gemma":0.001139816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599166,"about_ca_topic_score_gemma":0.002850658,"domain_scores_codex":[0.9990721,0.0000656948,0.00003878852,0.0001700727,0.0005961559,0.00005710396],"domain_scores_gemma":[0.9988468,0.0001294506,0.0000515072,0.0001054998,0.0007764761,0.00009024945],"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":[0.0002111902,0.0001815911,0.006111775,0.0002216063,0.00003124353,0.0001901764,0.0001570664,0.004885518,0.6676535,0.005295337,0.006501602,0.3085594],"study_design_scores_gemma":[0.0001366971,0.001834776,0.02195129,0.0001298777,0.00008312966,0.001616807,0.0001772682,0.05616897,0.672475,0.002583278,0.2426084,0.0002345622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05457893,0.002021358,0.9222105,0.001126931,0.0008673164,0.000820516,0.0009426858,0.008244638,0.00918714],"genre_scores_gemma":[0.1397123,0.001149975,0.848963,0.0003614388,0.0001450637,0.0002555486,0.001024632,0.0002245636,0.008163568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001932393,"threshold_uncertainty_score":0.007618129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139166640600808,"score_gpt":0.2128827396830283,"score_spread":0.2014910732770202,"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."}}