{"id":"W4415459744","doi":"10.1016/j.compchemeng.2025.109464","title":"Visual process monitoring of biomass conversion reactors using transfer learning and generative AI","year":2025,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Alliance de recherche numérique du Canada; University of British Columbia; Pacific Institute for Climate Solutions","keywords":"Smoke; Convolutional neural network; Transfer of learning; Process (computing); Field (mathematics); Classifier (UML)","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":[0.0002999047,0.0005806601,0.000283506,0.000542348,0.0001408067,0.0005060423,0.0006326055,0.0004488661,0.0009270741],"category_scores_gemma":[0.0008758929,0.0002019532,0.0005375919,0.0003257189,0.0003483607,0.0004484178,0.0005281629,0.0005912624,0.0001829405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004905779,"about_ca_system_score_gemma":0.0003142249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002510984,"about_ca_topic_score_gemma":0.002394567,"domain_scores_codex":[0.9998623,0.00001901151,0.000004677399,0.00004928372,0.00004406206,0.00002067603],"domain_scores_gemma":[0.9997578,0.00009862724,0.00003929729,0.00003415964,0.00005186368,0.00001817325],"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":[0.0003116941,0.0002152778,0.004437439,0.0002052359,0.00007214202,0.0003491125,0.000260333,0.5415297,0.1260985,0.00209636,0.001013159,0.323411],"study_design_scores_gemma":[0.000002721468,0.0000303324,0.0007724994,0.000003175234,0.000004695974,0.00002487558,0.00001022704,0.9889649,0.009456082,0.0005682367,0.0001570144,0.000005303367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3082808,0.0004430406,0.6837426,0.0002549464,0.00007007391,0.00008302245,0.0001772333,0.002348205,0.004600148],"genre_scores_gemma":[0.9428065,0.000119625,0.05576308,0.00007041778,0.00001370041,0.00003693336,0.0001234876,0.0000533383,0.001012837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002510984,"threshold_uncertainty_score":0.004992723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009153300232647085,"score_gpt":0.2429741505965487,"score_spread":0.2338208503639017,"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."}}