{"id":"W2116622845","doi":"","title":"Automatic crack detection on road imagery using anisotropic diffusion and region linkage","year":2010,"lang":"en","type":"article","venue":"European Signal Processing Conference","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer vision; Histogram; Pixel; Computer science; Segmentation; Image segmentation; Binary image; Anisotropic diffusion; Pattern recognition (psychology); Mixture model; Image processing; Image (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001224453,0.000203854,0.0001439013,0.00009875771,0.000226293,0.0002265919,0.0001191745,0.00005976936,0.000020566],"category_scores_gemma":[0.0000277657,0.000184985,0.00002620899,0.0001063551,0.00007161742,0.0002638971,0.00004265787,0.0004902916,0.00001769428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002882723,"about_ca_system_score_gemma":0.00002108322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000506317,"about_ca_topic_score_gemma":0.000002342908,"domain_scores_codex":[0.999122,0.00004314725,0.0002058253,0.0002379277,0.0001379864,0.0002531491],"domain_scores_gemma":[0.9996117,0.0000174644,0.00007127427,0.0001491589,0.00007263514,0.00007778066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006042802,0.000005503851,0.0001883056,0.000111383,0.00000328648,0.00003556902,0.0002989736,0.0002378892,0.446562,0.00001290441,0.000005991035,0.5525321],"study_design_scores_gemma":[0.0004768583,0.0001326149,0.04118864,0.0008652986,0.00003323569,0.0001695129,0.0001456517,0.8997494,0.05597637,0.0002616948,0.0004500325,0.0005507084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9020336,0.00004321519,0.09340902,0.000008329208,0.0004026447,0.00008038684,5.143316e-7,0.0003599433,0.003662364],"genre_scores_gemma":[0.9973114,0.00001334034,0.002107353,0.00003224682,0.0004445265,0.000001648732,0.00000125535,0.00005140299,0.00003687085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8995115,"threshold_uncertainty_score":0.7543467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368970734993826,"score_gpt":0.2179766185272002,"score_spread":0.2042869111772619,"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."}}