{"id":"W4296347520","doi":"10.5731/pdajpst.2020.012443","title":"An Investigation into the Spatial Distribution of Moisture in Freeze-Dried Products Using NIR Spectroscopy and Chemical Imaging","year":2022,"lang":"en","type":"article","venue":"PDA Journal of Pharmaceutical Science and Technology","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pfizer (Canada); Université de Sherbrooke","funders":"","keywords":"Moisture; Near-infrared spectroscopy; Water content; Freeze-drying; Materials science; Environmental science; Process analytical technology; Process engineering; Biological system; Chemistry; Chromatography; Composite material; Optics; Chemical engineering; Geology; 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":[0.0007221067,0.00008274744,0.000175634,0.0002355882,0.0002211531,0.00002761433,0.0003516895,0.00004268558,0.000034354],"category_scores_gemma":[0.0003961235,0.00006307006,0.00001543593,0.001770756,0.001480917,0.0001883762,0.0001787491,0.0005821973,4.722196e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897472,"about_ca_system_score_gemma":0.0001902946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001026803,"about_ca_topic_score_gemma":0.000004282084,"domain_scores_codex":[0.998909,0.0000230679,0.0002778909,0.0002008606,0.0003804202,0.0002087464],"domain_scores_gemma":[0.9994033,0.00004108554,0.000195231,0.00011457,0.0001670884,0.00007872505],"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":[0.00003150491,0.00005392046,0.05613272,0.00001505313,0.000006715657,0.00000696346,0.0001694242,0.000008865317,0.9390671,0.0005202278,0.000006739845,0.003980822],"study_design_scores_gemma":[0.000345192,0.00004823841,0.001424631,0.000008315953,0.00005924842,0.0001860499,0.001100201,0.004446768,0.9888791,0.003311012,0.0001239346,0.00006733307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947518,0.001107326,0.000370879,0.003668505,0.00003581715,0.00003632864,0.000003504678,0.000009401112,0.00001645749],"genre_scores_gemma":[0.999112,0.00005723051,0.0007169826,0.00005649418,0.00004902534,0.00000201856,0.000001807183,0.000003534708,9.026454e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05470809,"threshold_uncertainty_score":0.5456502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616659342812661,"score_gpt":0.3248740459526966,"score_spread":0.30870745252457,"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."}}