{"id":"W7029455880","doi":"","title":"Investigating the Optimization of Terrestrial Laser Scanning Procedures for the Analysis of Concrete Bridge Pier Spalling","year":2023,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spall; Bridge (graph theory); Visual inspection; Point cloud; Pier; Asset management; Process (computing); Interoperability","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":[0.002115552,0.0006877001,0.0005819372,0.001018828,0.0003265429,0.001043483,0.0006782134,0.0007364917,0.00127225],"category_scores_gemma":[0.004282147,0.0004278857,0.0006230622,0.001010982,0.0003625311,0.000954628,0.0004433822,0.0005861704,0.0005560284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003766775,"about_ca_system_score_gemma":0.0007694751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002192644,"about_ca_topic_score_gemma":0.004723874,"domain_scores_codex":[0.9985252,0.0002975588,0.00009402019,0.000272619,0.0006879048,0.0001226591],"domain_scores_gemma":[0.9973139,0.001256096,0.0003406569,0.0002046203,0.0008335368,0.00005120866],"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":[0.0004926615,0.000338477,0.01306507,0.0009456219,0.00006047177,0.000262921,0.0003312117,0.02809966,0.8504108,0.0005859049,0.0006037251,0.1048034],"study_design_scores_gemma":[0.00002905533,0.002110842,0.03002766,0.00007379314,0.0001519705,0.0003882443,0.0007619784,0.1316281,0.8298497,0.0003274965,0.004547391,0.0001037954],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.884603,0.002023348,0.1085685,0.0002348539,0.00005984917,0.0002779133,0.000390141,0.0008478944,0.002994523],"genre_scores_gemma":[0.8211154,0.001405692,0.1757338,0.00007309025,0.00001407557,0.0001203078,0.0003947645,0.0001713533,0.0009714948],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002192644,"threshold_uncertainty_score":0.01118821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04487746498598466,"score_gpt":0.2495416267811819,"score_spread":0.2046641617951972,"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."}}