{"id":"W584803909","doi":"","title":"Dynamic Target Surveying","year":2005,"lang":"en","type":"article","venue":"Bridges Conversations in Global Politics and Public Policy","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Total station; Bridge (graph theory); Deflection (physics); Installation; Engineering; Suspension (topology); Deformation monitoring; Computer science; Structural engineering; Mechanical engineering; Deformation (meteorology); Geology; Geodesy; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002934338,0.0001340585,0.0001414209,0.0001152691,0.0001948983,0.0001734488,0.0001561537,0.00007382891,0.0002496196],"category_scores_gemma":[0.0002249962,0.000125381,0.00003665861,0.0004063262,0.0001410036,0.0003577384,0.00001919912,0.0001024266,0.0001043583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006754952,"about_ca_system_score_gemma":0.0002181077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03138875,"about_ca_topic_score_gemma":0.01946748,"domain_scores_codex":[0.9987568,0.0001159857,0.0002217926,0.0002165854,0.0001546354,0.0005341647],"domain_scores_gemma":[0.9994367,0.00008462625,0.00004474841,0.0001413875,0.00004867739,0.0002438848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000019195,0.00001699138,0.9397802,0.00000840781,0.000009184014,0.00000267396,0.0001491061,0.0003968792,5.961754e-7,0.02727466,0.0004208056,0.03193853],"study_design_scores_gemma":[0.0002539297,0.00001704643,0.9470558,0.000006606985,0.000002603726,0.00002490903,0.0003333005,0.02997506,0.00000107303,0.00288765,0.01927697,0.0001651012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580007,0.0007114151,0.0001391989,0.008137313,0.000153842,0.0001082549,0.0008812525,0.00007110355,0.03179694],"genre_scores_gemma":[0.9971246,0.0001333812,0.0007679022,0.001157659,0.0001238166,0.000001046201,0.0002569693,0.000002656937,0.000431971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03912392,"threshold_uncertainty_score":0.9984246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824398737769899,"score_gpt":0.2578691198140703,"score_spread":0.2396251324363713,"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."}}