{"id":"W4290770894","doi":"10.55900/lzqewmfg","title":"Development and calibration of a lyophilization model for process control applications","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 22nd International Drying Symposium on Drying Technology - IDS '22","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Calibration; Process (computing); Process control; Computer science; Process engineering; Process development; Engineering; Mathematics; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0002278585,0.0001628962,0.0002202541,0.0004033397,0.0002545885,0.0000219183,0.000510725,0.00009930247,0.000004075486],"category_scores_gemma":[0.00008274365,0.0001620598,0.00004885166,0.0003678277,0.00007214151,0.00018979,0.0001140436,0.0001753171,1.467093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000212461,"about_ca_system_score_gemma":0.00003845815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.379068e-7,"about_ca_topic_score_gemma":5.259351e-7,"domain_scores_codex":[0.9987544,0.000004262036,0.0005084908,0.000258955,0.0003095682,0.0001643237],"domain_scores_gemma":[0.999148,0.00004207529,0.0003528377,0.0001138735,0.0003213454,0.00002188866],"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":[0.00006481109,0.00005513372,0.001085549,0.0002131716,0.0001029687,3.056782e-8,0.0005322394,0.7538291,0.1797297,0.06268802,0.00003043059,0.001668923],"study_design_scores_gemma":[0.0007817152,0.00003975843,0.00001662082,0.00006236819,0.00002859662,0.000005498728,0.0002158253,0.9305576,0.06020472,0.007548033,0.0003965933,0.0001426435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4370564,0.000143119,0.5547848,0.002042968,0.0004151431,0.002942638,0.0001253049,0.0006746958,0.001815016],"genre_scores_gemma":[0.9899135,0.0000120515,0.00786729,0.00004287253,0.00003187476,0.001988408,0.00001704794,0.00004218139,0.00008483792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.552857,"threshold_uncertainty_score":0.6608609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006711651299058096,"score_gpt":0.2213911803867102,"score_spread":0.2146795290876521,"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."}}