{"id":"W3047058342","doi":"10.1016/j.ijpharm.2020.119728","title":"Predictive models of FDM 3D printing using experimental design based on pharmaceutical requirements for tablet production","year":2020,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of New Brunswick; Dermatology Foundation","keywords":"3D printing; Process engineering; Fused deposition modeling; Polylactic acid; Porosity; Materials science; Digital printing; Compounding; SCALE-UP; Computer science; Polymer; Engineering drawing; Composite material; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001384598,0.001065697,0.000892989,0.0006460469,0.0003605601,0.001149165,0.000927948,0.001425005,0.002575989],"category_scores_gemma":[0.003610288,0.0007498065,0.001501703,0.0004518306,0.0004992991,0.0006501693,0.0003770723,0.0009772065,0.0003450964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001311369,"about_ca_system_score_gemma":0.000936787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01296339,"about_ca_topic_score_gemma":0.007159192,"domain_scores_codex":[0.9995986,0.0001104484,0.00002582045,0.00009940987,0.0001083915,0.00005725962],"domain_scores_gemma":[0.9968786,0.002458519,0.0002558269,0.0001018569,0.0002801914,0.00002492988],"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":[0.00005696199,0.00002686394,0.0002114087,0.00004222585,0.000008061082,0.00001242289,0.000009206606,0.9967356,0.0009214626,0.0001988852,0.00004137163,0.001735555],"study_design_scores_gemma":[0.000005846838,0.00002604285,0.0002216278,0.000002260085,0.000005154598,0.000002361496,0.000002031218,0.9986407,0.000956095,0.00008536955,0.00004892161,0.000003559918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6418061,0.0008198915,0.3450551,0.000301551,0.00008109366,0.0002844136,0.001681984,0.0008295118,0.009140286],"genre_scores_gemma":[0.9855183,0.0001181591,0.01268976,0.00001708481,0.000005941326,0.0001968922,0.0002824253,0.00002773273,0.001143603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01296339,"threshold_uncertainty_score":0.02577585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1944850232742704,"score_gpt":0.3795365892552944,"score_spread":0.185051565981024,"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."}}