{"id":"W4239192631","doi":"10.22260/isarc2012/0054","title":"Image-Based Retrieval of Concrete Crack Properties","year":2012,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Image stitching; Computer science; Artificial intelligence; Computer vision; Image processing; Visualization; Binary image; Orientation (vector space); Histogram; Pixel; Digital image processing; Image (mathematics); Mathematics","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":[0.0001923007,0.0001214023,0.0001827569,0.00004364055,0.00003659476,0.00001298438,0.0002507463,0.00005712964,0.00001429677],"category_scores_gemma":[0.000125829,0.00008013158,0.00008359832,0.0001525288,0.0001233581,0.0002420198,0.00005434929,0.0001474366,0.000003811331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003737906,"about_ca_system_score_gemma":0.00001195639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005458298,"about_ca_topic_score_gemma":4.591467e-8,"domain_scores_codex":[0.9992386,0.000002020836,0.0002118392,0.00006984769,0.0002025189,0.0002752374],"domain_scores_gemma":[0.9995771,0.0000125619,0.00008617333,0.00008886086,0.0001951019,0.00004019658],"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":[0.00003816514,0.00000268714,0.006685745,0.0004707853,0.00002202057,3.648454e-8,0.0006925085,0.00003911239,0.9904617,0.0002891079,0.001173762,0.0001243554],"study_design_scores_gemma":[0.0001926893,0.00002043767,0.002918656,0.000175067,0.00002500166,0.000002551267,0.0002827515,0.0008983865,0.9942171,0.00009200026,0.001071525,0.0001038265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899844,0.0002937307,0.00003360081,0.0000686506,0.0005665158,0.0001521448,0.000003940153,0.00007178065,0.008825219],"genre_scores_gemma":[0.9972606,0.000007690086,0.002344325,0.00002018521,0.0002566927,0.000004114131,2.191893e-7,0.00002664943,0.0000795496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008745669,"threshold_uncertainty_score":0.3267671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044970187610737,"score_gpt":0.1956087553386656,"score_spread":0.1851590534625583,"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."}}