{"id":"W4309269358","doi":"10.3390/rs14225793","title":"Semantic Segmentation and 3D Reconstruction of Concrete Cracks","year":2022,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Segmentation; Artificial intelligence; Inference; Range (aeronautics); Computer vision; Replica; Materials science","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":[0.00007698388,0.00006049585,0.00009120566,0.00005865079,0.00008371184,0.000008398632,0.00001653908,0.0000186175,0.000008338588],"category_scores_gemma":[0.000007610019,0.00006904276,0.00001647785,0.00007575042,0.00001964784,0.00005217248,0.00002051272,0.0001081861,4.549379e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005719768,"about_ca_system_score_gemma":0.000005586535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002645547,"about_ca_topic_score_gemma":0.000001143528,"domain_scores_codex":[0.9996033,0.00001727363,0.0001232697,0.00007557457,0.00007910727,0.0001014348],"domain_scores_gemma":[0.9998472,0.00001608667,0.00003404167,0.00006723275,0.00001895795,0.0000164184],"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":[0.000006881129,1.40178e-7,0.00007879391,0.00006639783,0.0000208552,0.000007724958,0.0007689457,0.01291336,0.4727341,0.00001413017,0.0000263175,0.5133623],"study_design_scores_gemma":[0.0002972411,0.00003021391,0.0003171694,0.00007445099,0.00002723862,0.0004976118,0.001616252,0.8858692,0.1103773,0.0003274015,0.0004102236,0.0001556858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802914,0.0001111944,0.0173484,0.000008624012,0.0008505227,0.00006408853,0.000001643527,0.00006537756,0.001258798],"genre_scores_gemma":[0.9822403,0.00002996038,0.01760506,0.00001100485,0.00008196256,1.366032e-8,0.000002609467,0.00001339205,0.00001575991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8729559,"threshold_uncertainty_score":0.2815482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005715230907698524,"score_gpt":0.2016224981884512,"score_spread":0.1959072672807527,"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."}}