{"id":"W4391824762","doi":"10.1016/j.ijpharm.2024.123902","title":"Application of 3D printing in early phase development of pharmaceutical solid dosage forms","year":2024,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"3D printing; Dosage form; Pharmaceutical industry; Risk analysis (engineering); Drug development; Pharmaceutical technology; Quality by Design; Computer science; Phase (matter); Quality (philosophy); Manufacturing engineering; Medicine; Biochemical engineering; Nanotechnology; Medical physics; Business; Drug; Engineering; Pharmacology; New product development; Materials science; Mechanical engineering; Marketing; Chemistry","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":[0.001471199,0.0006031449,0.0006891999,0.001193637,0.0002686941,0.001482456,0.0006414675,0.001211841,0.002238726],"category_scores_gemma":[0.001439056,0.0005021627,0.001085708,0.0007454832,0.0006261864,0.0008065953,0.000805816,0.001360855,0.001396982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005520746,"about_ca_system_score_gemma":0.0005274726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004217807,"about_ca_topic_score_gemma":0.0004648689,"domain_scores_codex":[0.9988147,0.0002380657,0.0001078753,0.000170999,0.0006008756,0.00006752062],"domain_scores_gemma":[0.9993505,0.000340994,0.00009707989,0.0000624618,0.0001217527,0.00002720818],"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":[0.0003002532,0.0001507972,0.0006248708,0.007626737,0.00009516068,0.001237852,0.0003582955,0.005182873,0.5567932,0.0176305,0.005783634,0.4042158],"study_design_scores_gemma":[0.00004126502,0.0007188047,0.001234964,0.000583592,0.0001048375,0.001687069,0.000077368,0.005193009,0.7165642,0.003301891,0.2703975,0.00009549956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07447471,0.4305792,0.4278402,0.002465488,0.002226548,0.0009924186,0.001123795,0.001881402,0.05841629],"genre_scores_gemma":[0.373603,0.3566129,0.2516474,0.001485404,0.0005414827,0.0007381931,0.0007986771,0.0002624039,0.01431055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002238726,"threshold_uncertainty_score":0.007780552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04553118131424826,"score_gpt":0.4352497807055705,"score_spread":0.3897185993913222,"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."}}