{"id":"W2049877863","doi":"10.4028/www.scientific.net/amm.685.405","title":"Automatic Inspection System for Surface Defect of Precision Steel Ball","year":2014,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MD Precision (Canada)","funders":"","keywords":"Ball (mathematics); Robustness (evolution); System of measurement; Engineering; Computer science; Mechanical engineering; Structural engineering; Mathematics; Physics; Geometry","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":[0.0003932723,0.0003320251,0.0005071496,0.0009668524,0.0002542359,0.0003130181,0.000747704,0.0005349253,0.002048356],"category_scores_gemma":[0.0008036125,0.0002347344,0.0002361576,0.0003101607,0.000191222,0.0004316375,0.0004199286,0.0003098403,0.0005711396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002577057,"about_ca_system_score_gemma":0.0004370181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083974,"about_ca_topic_score_gemma":0.0006816871,"domain_scores_codex":[0.9993988,0.0000669451,0.00002154539,0.0001498212,0.0003193242,0.00004358923],"domain_scores_gemma":[0.9994034,0.00009724627,0.00007365721,0.0000659397,0.0003240553,0.00003576323],"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":[0.0005183999,0.0001321672,0.006498193,0.0003031473,0.00003221746,0.0003367314,0.0003843903,0.004749745,0.6936115,0.0008061498,0.006456506,0.2861709],"study_design_scores_gemma":[0.0003394858,0.002871449,0.07453015,0.0001116012,0.0001496038,0.004717038,0.000318901,0.3446023,0.5438331,0.001076597,0.02718508,0.0002647741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3520975,0.0008272332,0.625855,0.0002293545,0.000213073,0.0002850275,0.0003227612,0.01494458,0.005225457],"genre_scores_gemma":[0.9069111,0.0001855151,0.08770099,0.00008968914,0.00003769633,0.0001310052,0.000323275,0.0001062877,0.004514512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002048356,"threshold_uncertainty_score":0.006852388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056830407423972,"score_gpt":0.2029485016504164,"score_spread":0.1923801975761767,"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."}}