{"id":"W2007728975","doi":"10.1208/pt0801023","title":"Application of thermal effusivity as a process analytical technology tool for monitoring and control of the roller compaction process","year":2007,"lang":"en","type":"article","venue":"AAPS PharmSciTech","topic":"Injection Molding Process and Properties","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's Health Research Institute","funders":"","keywords":"Thermal effusivity; Compaction; Process (computing); Process engineering; Process analytical technology; Thermal; Computer science; Materials science; Work in process; Engineering; Composite material; Thermodynamics; Physics","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":[0.0002933423,0.00009518407,0.0001636343,0.0001088178,0.00007225948,0.000008989844,0.0001156858,0.00009794741,0.0000030994],"category_scores_gemma":[0.00005265396,0.00006913103,0.00003507281,0.0003495344,0.00007962593,0.00009250178,0.00001042758,0.0001258879,4.18874e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002138694,"about_ca_system_score_gemma":0.00001559803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008767222,"about_ca_topic_score_gemma":7.296603e-7,"domain_scores_codex":[0.9993639,0.000006047687,0.0002359857,0.0001171084,0.0001277204,0.0001492391],"domain_scores_gemma":[0.9995519,0.00005130932,0.00008290268,0.0001123619,0.000182624,0.00001893523],"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":[0.0005189896,0.0001163861,0.1359063,0.002378263,0.0001636456,3.328913e-7,0.0010378,0.04610464,0.7481354,0.0008673933,0.000006347491,0.06476454],"study_design_scores_gemma":[0.0007207548,0.0000635876,0.006516723,0.0000594158,0.00004326087,0.000007254245,0.0001797923,0.05203005,0.939386,0.0007041956,0.0001837851,0.0001051442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9374334,0.000174091,0.06156684,0.00006619966,0.00009679834,0.0004429449,0.000004294503,0.00008758531,0.0001278638],"genre_scores_gemma":[0.9997121,0.000007160711,0.00009931705,0.000006782839,0.00006203493,0.00007925224,4.490338e-7,0.0000152928,0.00001757562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1912507,"threshold_uncertainty_score":0.2819082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00948062138999798,"score_gpt":0.2816223325364081,"score_spread":0.2721417111464101,"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."}}