{"id":"W1964057864","doi":"10.1117/12.417168","title":"Multivariate image analysis for process monitoring and control","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Multispectral image; Principal component analysis; Artificial intelligence; Pixel; Computer vision; Process (computing); Remote sensing; Pattern recognition (psychology); Image processing; Data mining; Image (mathematics); Geology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000373436,0.0003223328,0.0005983189,0.0001836233,0.0001197009,0.0001422385,0.0006486622,0.0002000403,0.00004711726],"category_scores_gemma":[0.0007772467,0.0002732076,0.0007846918,0.0007467016,0.0001798574,0.0004530423,0.00007510315,0.0002440462,4.98412e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192912,"about_ca_system_score_gemma":0.00002073607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001559567,"about_ca_topic_score_gemma":7.898425e-8,"domain_scores_codex":[0.9980326,5.627907e-9,0.0006061982,0.000450998,0.0004846675,0.0004255348],"domain_scores_gemma":[0.9975503,0.0002511066,0.0004075545,0.00005783083,0.001597573,0.0001356102],"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":[0.0002164947,0.000144963,0.01496326,0.0007517349,0.003464749,1.099243e-7,0.0001816586,0.0001012336,0.9566645,0.02322738,0.0001486799,0.0001352366],"study_design_scores_gemma":[0.002832836,0.0001620994,0.003326365,0.0001532564,0.003481588,0.0000128977,0.003112981,0.05219825,0.9322716,0.001170659,0.0007330335,0.0005444261],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965142,0.0002039666,0.0004228869,0.0007981597,0.00005907641,0.0002697002,0.000079536,0.00008420976,0.001568275],"genre_scores_gemma":[0.9549724,0.0001219514,0.04380969,0.00002731297,0.0004463477,0.0002213371,0.000008867853,0.00004915447,0.000342953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05209701,"threshold_uncertainty_score":0.999972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202356122923232,"score_gpt":0.2668039224770398,"score_spread":0.2547803612478075,"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."}}