{"id":"W4210740700","doi":"10.3390/pr10020254","title":"Moisture Transport Coefficients Determination on a Model Pharmaceutical Tablet","year":2022,"lang":"en","type":"article","venue":"Processes","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Pfizer Canada","keywords":"Moisture; Materials science; Porosity; Permeability (electromagnetism); Composite material; Water content; Thermodynamics; Mechanics; Geotechnical engineering; Chemistry; Physics; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006503894,0.0002114761,0.0002274794,0.0001171639,0.0007348616,0.00001799391,0.0003653996,0.0001372604,0.001114641],"category_scores_gemma":[0.00007195055,0.000216021,0.00006830554,0.0004383525,0.00009695773,0.0001302276,0.00007033836,0.0008533831,0.0001017437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136031,"about_ca_system_score_gemma":0.0002322739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009338844,"about_ca_topic_score_gemma":0.00001011973,"domain_scores_codex":[0.9982032,0.0002358584,0.0003104236,0.0004048321,0.00042983,0.0004158753],"domain_scores_gemma":[0.9992234,0.0002083422,0.0001060881,0.0001486263,0.0001346619,0.0001789307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003265896,0.005327938,0.01109617,0.002724771,0.0002083319,0.0002727869,0.008847292,0.9126984,0.004237162,0.001308566,0.0209567,0.02905595],"study_design_scores_gemma":[0.001989343,0.000268141,0.00009533405,0.0000178305,0.0001598495,0.00006421721,0.0004249961,0.3459671,0.008168441,0.0004035642,0.6420094,0.0004317766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355475,0.003291061,0.008771402,0.002229008,0.002837032,0.001586742,0.001073713,0.0006374748,0.04402604],"genre_scores_gemma":[0.9908803,0.0001248554,0.00006331322,0.004896696,0.0001189997,0.00031283,0.0001038304,0.00002628591,0.003472908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6210527,"threshold_uncertainty_score":0.9997985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1306767407807463,"score_gpt":0.4256172363817737,"score_spread":0.2949404956010274,"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."}}