{"id":"W2592604658","doi":"10.1515/ijfe-2016-0234","title":"Using Liquid-Only Cans (Equipped with a Single Particle) to Quantify Heat Transfer Phenomenon During Thermal Processing","year":2017,"lang":"en","type":"article","venue":"International Journal of Food Engineering","topic":"Microencapsulation and Drying Processes","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Reciprocating motion; Heat transfer; Particle size; Analytical Chemistry (journal); Thermodynamics; Viscosity; Particle (ecology); Heat transfer coefficient; Chemistry; Materials science; Amplitude; Chromatography; Composite material; Optics; Physical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001055117,0.0001103452,0.0001319344,0.00003199255,0.0001504929,0.0002863892,0.0003705048,0.00002631896,0.00003806006],"category_scores_gemma":[0.00004459477,0.00005174741,0.00005059574,0.00006866521,0.00001639406,0.0004473929,0.00003275642,0.00009964075,0.000001408464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006315629,"about_ca_system_score_gemma":0.00002531416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003636548,"about_ca_topic_score_gemma":0.00007932936,"domain_scores_codex":[0.9991651,0.000007719737,0.0002472032,0.0001128772,0.000287827,0.000179293],"domain_scores_gemma":[0.9995353,0.00001876754,0.00006321201,0.00003811881,0.0002397315,0.0001049027],"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":[0.0001935425,0.00004275107,0.001082194,0.0000113121,0.00004000224,0.00002160457,0.0003155265,0.02176152,0.974616,0.00003313078,4.81996e-7,0.00188196],"study_design_scores_gemma":[0.0008963008,0.00122472,0.05655127,0.0007363731,0.00003571223,0.0005022745,0.0002529288,0.004363701,0.934451,0.000009032937,0.0006000269,0.0003766513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974352,0.0001012563,0.001399229,0.0007367508,0.000176976,0.0000531135,0.000006137175,0.00002116479,0.00007023774],"genre_scores_gemma":[0.9989842,0.000004204373,0.0005762708,0.00004189025,0.0003770682,8.904429e-7,9.847832e-7,0.000002986277,0.00001146069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05546908,"threshold_uncertainty_score":0.2761658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04507034629999043,"score_gpt":0.2592171781181217,"score_spread":0.2141468318181313,"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."}}