{"id":"W2366344023","doi":"","title":"The Determination of Vertical Deflections Based on GPS Leveling Observations at Discrete Points","year":2004,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Geodetic datum; Vertical deflection; Geodesy; Global Positioning System; Deflection (physics); Mathematics; Computer science; Geology; Engineering; Physics; Optics; Telecommunications","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":[0.00006033456,0.0000567295,0.00004721278,0.00003038532,0.0001668726,0.0000114695,0.00004339426,0.00003645218,0.00001444957],"category_scores_gemma":[0.0000721962,0.00004183208,0.00003804369,0.0001415636,0.00002041163,0.00005898489,0.000005439789,0.00005851322,0.00001755928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200008,"about_ca_system_score_gemma":0.000008657146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000313052,"about_ca_topic_score_gemma":0.0002215554,"domain_scores_codex":[0.9995686,0.00001043236,0.0001473851,0.00005834138,0.0001141894,0.0001010646],"domain_scores_gemma":[0.9997171,0.0001016982,0.000009097453,0.0001049414,0.00004307326,0.0000241264],"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":[0.00005745051,0.00004237978,0.001026754,0.00003161171,0.00001763529,0.000001448932,0.0002840167,0.7418091,0.2236561,0.02349756,0.0001265679,0.009449333],"study_design_scores_gemma":[0.0003870044,0.00005057872,0.01821307,0.00003059952,0.00001584929,0.000001244464,0.0000211548,0.6685351,0.3108211,0.001484045,0.0003397861,0.0001004602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7020732,0.00001111298,0.2905887,0.001028103,0.0002661373,0.0001460769,0.000004713954,0.0001605344,0.005721409],"genre_scores_gemma":[0.9972477,0.000003682766,0.002572656,0.00004421408,0.00003705972,0.000008209956,0.00001146281,0.00001006879,0.0000649513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2951745,"threshold_uncertainty_score":0.1705863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442407446048871,"score_gpt":0.2491679708964084,"score_spread":0.2247438964359197,"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."}}