{"id":"W3186700072","doi":"10.1016/j.ijpharm.2021.120953","title":"In-line cosmetic end-point detection of batch coating processes for colored tablets using multivariate image analysis","year":2021,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Pfizer (Canada); Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coating; Computer science; Process (computing); Image processing; Artificial intelligence; Computer vision; Process engineering; Engineering; Materials science; Image (mathematics); Nanotechnology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004952047,0.0007434704,0.0005243177,0.000599922,0.0002797478,0.0006527674,0.0006403496,0.0007100198,0.00156158],"category_scores_gemma":[0.0009633409,0.0003429439,0.0006437878,0.0004454086,0.0003037867,0.0004452568,0.0004606408,0.0009487365,0.0007958672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003536312,"about_ca_system_score_gemma":0.0003407912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010218,"about_ca_topic_score_gemma":0.001889453,"domain_scores_codex":[0.9993802,0.00006635211,0.00001978381,0.0001439865,0.0003245612,0.0000651389],"domain_scores_gemma":[0.9993929,0.0001691187,0.0001263267,0.00006167799,0.0002181607,0.00003187021],"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":[0.0002732041,0.00008187922,0.0009840379,0.00009772678,0.0000333134,0.00003969935,0.0000510079,0.0002691291,0.9805607,0.00008047446,0.0002550494,0.01727388],"study_design_scores_gemma":[0.00000714425,0.0001496824,0.006537231,0.000005784095,0.00004012715,0.0001286145,0.0000277327,0.01261018,0.9796315,0.00003756448,0.0007996955,0.00002474775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7960712,0.001495229,0.1954163,0.000189227,0.0001531701,0.0001876964,0.000875004,0.002026343,0.003585991],"genre_scores_gemma":[0.8614724,0.001000594,0.1312885,0.000233255,0.00005259986,0.0001875691,0.0006623217,0.0003539825,0.004748875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00156158,"threshold_uncertainty_score":0.005223989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05545690213516631,"score_gpt":0.4152520109742452,"score_spread":0.3597951088390789,"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."}}