{"id":"W4240584261","doi":"10.1007/978-3-662-53120-4_300742","title":"Visual Inspection","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence","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":[0.0002197125,0.001082754,0.000501532,0.00162386,0.0007023611,0.001793835,0.001154104,0.001135399,0.1339107],"category_scores_gemma":[0.0005338638,0.000462767,0.0003922627,0.0009124594,0.0005766848,0.001153233,0.00131472,0.001068704,0.1046657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005141724,"about_ca_system_score_gemma":0.0005566754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577982,"about_ca_topic_score_gemma":0.003098661,"domain_scores_codex":[0.9996808,0.00001570511,0.000006796271,0.0000854407,0.0001848473,0.00002649754],"domain_scores_gemma":[0.99978,0.00002764476,0.000008402253,0.00004966039,0.0001170863,0.00001727991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003950762,0.00005379985,0.0001513256,0.0003323358,0.000006792262,0.00009518574,0.0001016142,0.000768833,0.02033661,0.02250778,0.1989457,0.7566605],"study_design_scores_gemma":[0.000004501529,0.00005649147,0.0007942633,0.000168819,0.000007364424,0.0005959771,0.00006970912,0.002061885,0.01009575,0.00962989,0.9764969,0.00001844911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001958653,0.004007901,0.1186882,0.0005128642,0.0007481733,0.0001370689,0.0004725646,0.004094092,0.8693805],"genre_scores_gemma":[0.01335018,0.002736598,0.0224573,0.0003567201,0.0001261934,0.00004461505,0.0007813871,0.0003835876,0.9597635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1339107,"threshold_uncertainty_score":0.4479758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460979378931326,"score_gpt":0.2122297103458652,"score_spread":0.1976199165565519,"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."}}