{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018574,0.0008563306,0.0005225276,0.001743582,0.0002137448,0.0007755964,0.0006602829,0.001250777,0.001197476],"category_scores_gemma":[0.000791808,0.000486226,0.001107184,0.0007461424,0.0005983245,0.0009161016,0.0009520362,0.0006694528,0.0007476723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003764108,"about_ca_system_score_gemma":0.0007043633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003680401,"about_ca_topic_score_gemma":0.007114396,"domain_scores_codex":[0.9995642,0.00004500084,0.00001872374,0.0001641216,0.0001474885,0.00006041762],"domain_scores_gemma":[0.9996696,0.00004597126,0.00006164366,0.0001086297,0.00009313243,0.00002103807],"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":[0.0003547059,0.0002698138,0.008741565,0.0002858087,0.0001324581,0.0003214586,0.0002920479,0.2653794,0.2310686,0.005715831,0.00396354,0.4834748],"study_design_scores_gemma":[0.000007252454,0.00005527274,0.003331544,0.0000211378,0.00001669531,0.000183638,0.00007214461,0.9625996,0.03014516,0.002095861,0.001453582,0.00001806247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1299153,0.0002411722,0.8647099,0.000109501,0.0000331023,0.0000968355,0.00075058,0.00245548,0.001688263],"genre_scores_gemma":[0.6105111,0.0002689316,0.3847553,0.00006549246,0.00002469983,0.00006334369,0.002457635,0.0002116438,0.001641808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003680401,"threshold_uncertainty_score":0.00731796,"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."}}