{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002308278,0.0001814791,0.000228997,0.0001117663,0.0002510539,0.0001117112,0.00004396676,0.0002937233,0.0000814998],"category_scores_gemma":[0.00001566811,0.00015351,0.00006312854,0.0003176839,0.00002099784,0.0002232471,0.00003245919,0.0003283933,0.00005897769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010988,"about_ca_system_score_gemma":0.000003476661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007856663,"about_ca_topic_score_gemma":0.00004446886,"domain_scores_codex":[0.9988665,0.00004880676,0.0003430965,0.0002265865,0.0002402209,0.0002747967],"domain_scores_gemma":[0.9995959,0.00006422135,0.00004473189,0.0001549481,0.00003322503,0.0001070046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003621758,0.0001152318,0.01953515,0.000274762,0.0003705469,0.0001237301,0.0005539788,0.3595233,0.009993942,0.002582033,0.2781383,0.3284268],"study_design_scores_gemma":[0.001102426,0.0001619219,0.001195861,0.0001358293,0.00001930618,0.000137845,0.00006239859,0.9924999,0.0001668925,0.00001584879,0.004252323,0.0002493782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981288,0.0003545487,0.003302164,0.00003945513,0.004629156,0.0004181656,0.000002525075,0.001600481,0.008365527],"genre_scores_gemma":[0.9979163,0.000003246706,0.0000762988,0.00001594936,0.001770479,0.00001774249,0.000001594128,0.00003238062,0.0001659856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6329767,"threshold_uncertainty_score":0.6259958,"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."}}