{"id":"W1559513838","doi":"10.1109/pacrim.1995.519580","title":"Industrial inspection employing a three dimensional vision system and a neural network classifier","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 Victoria","funders":"","keywords":"Artificial neural network; Artificial intelligence; Classifier (UML); Computer science; Machine vision; Computer vision; Pattern recognition (psychology); Software; Data set; Data mining","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":[0.0007204586,0.0005581024,0.0008100295,0.0009127054,0.0004709633,0.0008483314,0.001027042,0.001573845,0.003259432],"category_scores_gemma":[0.001542464,0.0005869874,0.0003854386,0.0009038864,0.0003784277,0.001003635,0.0006584646,0.0008030346,0.001958671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009333284,"about_ca_system_score_gemma":0.001015303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008607247,"about_ca_topic_score_gemma":0.007557195,"domain_scores_codex":[0.9993373,0.00004704463,0.00003428218,0.0001841264,0.00034803,0.00004930808],"domain_scores_gemma":[0.9991121,0.0001910196,0.00007129701,0.0001131816,0.0004589135,0.00005341856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006072212,0.0005660254,0.004393518,0.0002531837,0.00009645541,0.0002971311,0.00006819666,0.03608577,0.2204182,0.002189279,0.005660232,0.7293647],"study_design_scores_gemma":[0.00006264827,0.0004785739,0.007268338,0.00004747996,0.0000805191,0.0004578772,0.00002028377,0.9180745,0.06464852,0.001187727,0.007594376,0.00007900887],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06240588,0.0002939725,0.9207781,0.0002187574,0.0001238747,0.0003714738,0.0002310442,0.009788451,0.005788353],"genre_scores_gemma":[0.3384649,0.0003106058,0.6484318,0.0003526734,0.00008458901,0.0004975794,0.0004461192,0.0001317859,0.01128002],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008607247,"threshold_uncertainty_score":0.01711428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.046200275431905,"score_gpt":0.2166908371217342,"score_spread":0.1704905616898292,"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."}}