{"id":"W2573016419","doi":"10.26190/unsworks/20616","title":"A framework in support of structural monitoring by real time kinematic GPS and multisensor data","year":2002,"lang":"en","type":"article","venue":"UNSWorks (UNSW Sydney)","topic":"GNSS positioning and interference","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Kinematics; Real Time Kinematic; Computer science; Geodesy; Computer vision; Real-time computing; Remote sensing; Artificial intelligence; Geology; GNSS applications","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":[0.004784456,0.001230158,0.001004038,0.002324694,0.001004415,0.00449094,0.002968647,0.002030401,0.002633823],"category_scores_gemma":[0.006167536,0.0007391861,0.001954908,0.002095153,0.003560695,0.004425215,0.003433572,0.002469903,0.001217716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001752422,"about_ca_system_score_gemma":0.002794568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003591442,"about_ca_topic_score_gemma":0.002304745,"domain_scores_codex":[0.9959241,0.00166191,0.0003162475,0.000722435,0.00120831,0.0001668603],"domain_scores_gemma":[0.9954395,0.002018159,0.0006448367,0.0007527866,0.0008994481,0.0002453258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000269635,0.00004027263,0.0003408313,0.0001852269,0.00003467555,0.0003235742,0.0001626149,0.04067309,0.00166947,0.9386236,0.001077826,0.01684178],"study_design_scores_gemma":[0.00005480134,0.0001976062,0.0004813281,0.0001814698,0.00005428079,0.0003553816,0.0001379535,0.4959486,0.001765437,0.4404022,0.06035459,0.00006629237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008329815,0.000358596,0.9960723,0.0002917429,0.00006343659,0.00004417936,0.00005763779,0.00008348042,0.002195765],"genre_scores_gemma":[0.0981354,0.001611023,0.8952603,0.0002535727,0.0004655043,0.0005918003,0.0003721032,0.00007131227,0.003238882],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004784456,"threshold_uncertainty_score":0.02530289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330258235766232,"score_gpt":0.2489720612067191,"score_spread":0.2256694788490568,"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."}}