{"id":"W4414651029","doi":"10.1145/3749859.3749876","title":"Introducing a Novel Protocol for Collecting Annotated Images to Automate Concrete Structure Damage Severity Assessment","year":2025,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Protocol (science); Tripod (photography); Drone; Structural health monitoring; Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001693253,0.0002493749,0.0002742343,0.0001665571,0.000204481,0.0001511277,0.0001769821,0.00009111256,0.00004169293],"category_scores_gemma":[0.0001012235,0.0002233033,0.00005499844,0.0004500455,0.00001654442,0.0001528783,0.00008424637,0.000223538,0.000001018919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002741779,"about_ca_system_score_gemma":0.00008744342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003327819,"about_ca_topic_score_gemma":0.00001504569,"domain_scores_codex":[0.9987893,0.00001214604,0.0003118068,0.0003122398,0.0001151366,0.0004593802],"domain_scores_gemma":[0.9993873,0.00006812815,0.00003727218,0.0002638677,0.0001766819,0.0000668028],"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":[0.00009102049,0.000005778393,0.001234357,0.001084712,0.000179977,0.000004752764,0.0004519743,0.09197101,0.8597895,0.001125247,0.03825114,0.00581057],"study_design_scores_gemma":[0.003425603,0.0001199434,0.01432132,0.0004820579,0.00004209533,0.000007466673,0.0004948238,0.3626262,0.5730736,0.0004665116,0.04417405,0.000766362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08477354,0.000002644678,0.7291039,0.0004328687,0.001938186,0.165705,0.0001728178,0.002183937,0.01568708],"genre_scores_gemma":[0.4578618,2.186262e-7,0.416976,0.0004143093,0.0005348971,0.1226041,0.00001962236,0.00008472221,0.001504264],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3730883,"threshold_uncertainty_score":0.9106044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008092735346452695,"score_gpt":0.3110805997394308,"score_spread":0.3029878643929781,"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."}}