{"id":"W2045288965","doi":"10.1021/ie020941f","title":"Digital Imaging for Online Monitoring and Control of Industrial Snack Food Processes","year":2003,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Principal component analysis; Computer science; Feature (linguistics); Coating; Process engineering; Product (mathematics); Control (management); Quality (philosophy); Digital imaging; Snack food; Pattern recognition (psychology); Artificial intelligence; Data mining; Image processing; Digital image; Image (mathematics); Chemistry; Engineering; Mathematics; Food science","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":[0.0004323224,0.000269587,0.0004473517,0.000153432,0.0001109486,0.0001584439,0.0003173508,0.000365822,0.0001112638],"category_scores_gemma":[0.008227282,0.0002839917,0.00009528215,0.0008981985,0.0001392956,0.0001871648,0.00006755861,0.0009632687,6.685639e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001487139,"about_ca_system_score_gemma":0.000363316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007518137,"about_ca_topic_score_gemma":1.269753e-7,"domain_scores_codex":[0.9978721,0.00001082145,0.0004595413,0.0004452301,0.0005254297,0.000686848],"domain_scores_gemma":[0.9978777,0.00108951,0.0001112155,0.0002961182,0.0003967178,0.0002287494],"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":[0.0001526964,0.0001890875,0.02110156,0.0006414671,0.0002595502,0.000005628068,0.00003130923,0.0002082795,0.9749271,0.00002324128,0.0001709795,0.002289047],"study_design_scores_gemma":[0.003214495,0.00005355997,0.000006642613,0.0001719999,0.00006951384,0.00001553956,0.000408309,0.0001951024,0.99009,0.00003440364,0.005487261,0.0002532398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952718,0.001675051,0.0001824835,0.00008242294,0.0001047685,0.0002269864,0.0004189333,0.0001053152,0.001932211],"genre_scores_gemma":[0.9979717,0.00003428161,0.0000663122,0.000001126229,0.001299732,0.00006118548,0.00004016014,0.00005321271,0.0004723586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02109492,"threshold_uncertainty_score":0.9999612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09625862212565735,"score_gpt":0.3451832363464409,"score_spread":0.2489246142207836,"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."}}