{"id":"W2002878175","doi":"10.1016/j.ijheatmasstransfer.2015.03.014","title":"Particle morphology of CuCl2 droplets in evaporative spray drying of aqueous slurries by laser diffraction and microscopy","year":2015,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Microencapsulation and Drying Processes","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Atomic Energy (Canada)","funders":"","keywords":"Materials science; Aqueous solution; Spray drying; Slurry; Particle-size distribution; Nusselt number; Particle size; Particle (ecology); Diffraction; Composite material; Thermodynamics; Chemical engineering; Optics; Chromatography; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000274502,0.0001930964,0.0002046216,0.0003889932,0.0002370933,0.0002433203,0.0002507599,0.0003016335,0.001169622],"category_scores_gemma":[0.0003042928,0.0001711583,0.0001852565,0.0002849958,0.0003022553,0.0002992081,0.0001444741,0.0004700228,0.0002503934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005027451,"about_ca_system_score_gemma":0.000172626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004221228,"about_ca_topic_score_gemma":0.004530414,"domain_scores_codex":[0.9997945,0.00001444141,0.00002239055,0.00005008714,0.00008528637,0.00003317884],"domain_scores_gemma":[0.9997367,0.00008386996,0.0000519132,0.00002171703,0.00008739988,0.0000183169],"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":[0.00006336224,0.000007967245,0.0002797198,0.00002881878,0.000003135759,0.00005142267,0.00005620434,0.0001111899,0.9981761,0.00004269298,0.00004947035,0.001129991],"study_design_scores_gemma":[0.000005481551,0.00004866365,0.006609111,0.000002979805,0.000005534109,0.00006252578,0.00004653328,0.001546581,0.9911872,0.00001786327,0.0004597646,0.000007904629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929959,0.000707301,0.003796858,0.0000534333,0.00002314352,0.00002335256,0.0004950936,0.0001007389,0.001804152],"genre_scores_gemma":[0.9929767,0.0003962141,0.003865197,0.00004014315,0.000009318508,0.00002809106,0.0004107398,0.00004660988,0.00222697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004221228,"threshold_uncertainty_score":0.008393347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901259120395281,"score_gpt":0.2652538150280583,"score_spread":0.2462412238241055,"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."}}