{"id":"W2122010129","doi":"10.1109/robot.1994.351336","title":"Crack detection using contact sensing","year":2002,"lang":"en","type":"article","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Visibility; Computer science; Robot; Computer vision; Artificial intelligence; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007688327,0.00008122548,0.00009738626,0.00008046409,0.0000770006,0.00004482216,0.00001750108,0.00009830625,0.0002446719],"category_scores_gemma":[0.00001331929,0.00007635342,0.00004463173,0.0001556896,0.000003327861,0.0001191689,0.000004462454,0.0001048932,0.0001953375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007955958,"about_ca_system_score_gemma":0.000001027166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001099607,"about_ca_topic_score_gemma":0.00001985339,"domain_scores_codex":[0.9995231,0.00001725097,0.0001527129,0.00008388091,0.00008826785,0.0001347762],"domain_scores_gemma":[0.999805,0.0000188928,0.00001653243,0.0000974651,0.00002365056,0.00003841133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007255133,0.000008306555,0.00006876914,0.00002720971,0.00004009943,0.00001386054,0.0001869185,0.0204258,0.7287907,0.00002836136,0.001028486,0.2493743],"study_design_scores_gemma":[0.0002215983,0.00002595591,0.00007575264,0.00001717603,0.000006971938,0.00007368511,0.00005823671,0.8891272,0.1020291,0.000008616739,0.008226688,0.0001289982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8682442,0.00006005026,0.1073233,0.000003195227,0.001462966,0.0001037059,5.064819e-7,0.0005335961,0.02226848],"genre_scores_gemma":[0.9991546,0.000003534936,0.0002455179,0.00001227275,0.0003194614,4.462578e-7,1.508431e-7,0.00001890031,0.0002451325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8687014,"threshold_uncertainty_score":0.3113602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04530185074884446,"score_gpt":0.2193892545733357,"score_spread":0.1740874038244913,"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."}}