{"id":"W4205503672","doi":"10.1002/cjce.24371","title":"Mechanistic models for liquid binder evaporation in wet granulation","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Evaporation; Microscale chemistry; Granulation; Contact angle; Mass transfer; Materials science; Particle (ecology); Volume (thermodynamics); Mechanics; Thermodynamics; Chemistry; Composite material; Chromatography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008324307,0.0007893792,0.0008901449,0.000901293,0.0004611933,0.0008468554,0.001197568,0.001479001,0.002074294],"category_scores_gemma":[0.001374717,0.0004012006,0.001247351,0.0003493287,0.0007644749,0.002012148,0.0007321677,0.0006790535,0.0004238143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000937349,"about_ca_system_score_gemma":0.0004848985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00174474,"about_ca_topic_score_gemma":0.0009651851,"domain_scores_codex":[0.9997085,0.00007187106,0.00001908654,0.00005018395,0.00009488845,0.00005551461],"domain_scores_gemma":[0.9996101,0.000224571,0.00007254383,0.00003005532,0.00004830475,0.00001439396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001625817,0.0003142896,0.002239678,0.0007751495,0.0001240252,0.001157013,0.0002286012,0.8570127,0.07682001,0.04980881,0.0005657351,0.01079143],"study_design_scores_gemma":[0.00002974622,0.00007443655,0.001151251,0.00002059027,0.00002567424,0.0001632206,0.00003537754,0.9791989,0.00868739,0.009502135,0.00108953,0.00002176284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5947639,0.008495477,0.3731219,0.001282549,0.0002272545,0.0005354633,0.0005132884,0.0003643458,0.02069588],"genre_scores_gemma":[0.9877758,0.002087817,0.005690789,0.00006923011,0.00002889119,0.0002207131,0.0001200265,0.0000309087,0.003975935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002074294,"threshold_uncertainty_score":0.006939232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439454785433052,"score_gpt":0.1844964993623096,"score_spread":0.1701019515079791,"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."}}