{"id":"W2954930023","doi":"10.22260/isarc2019/0160","title":"Pavement Crack Mosaicking Based on Crack Detection Quality","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Frame (networking); Video camera; Artificial intelligence; Computer vision; Telecommunications","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":[0.0002680705,0.0001492017,0.0001642217,0.00005875489,0.00006076839,0.0000327392,0.0002338367,0.00006867775,0.0000305619],"category_scores_gemma":[0.00005069524,0.0001115368,0.00009638754,0.0001616405,0.00002230277,0.0001293979,0.00004596671,0.0002207666,0.00002181733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328391,"about_ca_system_score_gemma":0.000007198998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001746078,"about_ca_topic_score_gemma":0.000001612217,"domain_scores_codex":[0.9990643,0.00000364822,0.0002342549,0.0001620178,0.0002904919,0.0002453235],"domain_scores_gemma":[0.9995949,0.00002831214,0.00009632668,0.0001416374,0.0001077558,0.00003109996],"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":[0.00004697064,0.00002498435,0.03093128,0.0006313825,0.00003750548,1.43078e-7,0.0005158306,0.01668421,0.9420076,0.0009831799,0.0005581325,0.007578771],"study_design_scores_gemma":[0.0004099106,0.00006657159,0.02551091,0.0002413781,0.0000151564,0.000001046647,0.0003340032,0.01604374,0.9538882,0.0008710501,0.002408255,0.0002097252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836607,0.00001327854,0.0002428057,0.00008510342,0.001101071,0.0002545666,0.000002647974,0.0001259894,0.01451385],"genre_scores_gemma":[0.9991318,0.000003333049,0.0003846026,0.00009371253,0.0001802388,0.00001270968,4.29365e-7,0.00002842016,0.0001647489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01547112,"threshold_uncertainty_score":0.454834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006817415330286723,"score_gpt":0.2103999629399293,"score_spread":0.2035825476096425,"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."}}