{"id":"W2073157044","doi":"10.1002/jps.21973","title":"Wet Granulation in a Twin‐Screw Extruder: Implications of Screw Design","year":2009,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Sciences","topic":"Granular flow and fluidized beds","field":"Engineering","cited_by":140,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; GlaxoSmithKline","keywords":"Granulation; Plastics extrusion; Agglomerate; Materials science; Extrusion; Mixing (physics); Process engineering; Mechanical engineering; Composite material; Particle (ecology); Engineering","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":[0.001307891,0.0003441305,0.0006880934,0.0004332276,0.0004403413,0.001584193,0.0005458024,0.0005945168,0.0005683231],"category_scores_gemma":[0.003019239,0.0003873932,0.0004366084,0.0005342545,0.0006101511,0.001294345,0.0003682802,0.0003902754,0.000138217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005382582,"about_ca_system_score_gemma":0.0006013406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333056,"about_ca_topic_score_gemma":0.001818042,"domain_scores_codex":[0.9995489,0.00008521753,0.0000727475,0.00008459792,0.000143722,0.000064826],"domain_scores_gemma":[0.9987551,0.0007079511,0.0002323597,0.0001022356,0.0001621354,0.00004012425],"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":[0.004233883,0.0003369339,0.008556672,0.0003710773,0.00008713234,0.000615095,0.0001236944,0.1034187,0.8270937,0.005481748,0.0003077245,0.04937363],"study_design_scores_gemma":[0.0003992123,0.001343755,0.01012273,0.000017788,0.0001447786,0.0002329524,0.0001041915,0.3897545,0.5952796,0.001772123,0.0007690093,0.00005943231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609951,0.000701181,0.0370191,0.0001474839,0.0000864735,0.00003801774,0.00005386248,0.0001201479,0.0008385653],"genre_scores_gemma":[0.9930622,0.0002044366,0.006471914,0.00001407199,0.000007877114,0.000008159295,0.00002380773,0.00001773311,0.0001897042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001584193,"threshold_uncertainty_score":0.006916881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06638537531872384,"score_gpt":0.3436484492434024,"score_spread":0.2772630739246785,"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."}}