{"id":"W2085187738","doi":"10.1111/j.1745-4530.2009.00400.x","title":"FOAM‐MAT FREEZE‐DRYING OF APPLE JUICE
PART 1: EXPERIMENTAL DATA AND ANN SIMULATIONS","year":2009,"lang":"en","type":"article","venue":"Journal of Food Process Engineering","topic":"Microencapsulation and Drying Processes","field":"Agricultural and Biological Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Freeze-drying; Materials science; Process (computing); Vacuum drying; Chemistry; Chromatography; Pulp and paper industry; Food science; Composite material; Process engineering; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001317373,0.00008854221,0.000161322,0.00002623425,0.00006043256,0.00004031544,0.0002330937,0.00003763407,0.00002932658],"category_scores_gemma":[0.00008760537,0.00004234499,0.00002683402,0.0001908309,0.00001108813,0.0004032616,0.00003256286,0.00008851552,2.734489e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005929126,"about_ca_system_score_gemma":0.000009607592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001922743,"about_ca_topic_score_gemma":0.000002880003,"domain_scores_codex":[0.999301,0.000006971651,0.0003051477,0.0001087267,0.0001632515,0.0001148694],"domain_scores_gemma":[0.9995302,0.00006567631,0.0001882214,0.00004649419,0.0001000191,0.00006940066],"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":[0.00004084872,0.0001745579,0.0009901302,0.0001093274,0.00004497263,0.000003030635,0.0008879479,0.01877271,0.9662523,0.00009859243,0.0002603305,0.01236528],"study_design_scores_gemma":[0.001731958,0.003075116,0.01826759,0.0009876207,0.0001645839,0.0003217443,0.00338634,0.05966468,0.8839062,0.0007562779,0.02673208,0.001005752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964769,0.002861986,0.0002595725,0.0001880416,0.00006162841,0.00005193991,0.00003860681,0.0000182245,0.00004309004],"genre_scores_gemma":[0.9992396,0.00003331433,0.000506239,0.00003754502,0.0001627923,4.246145e-7,0.00001307629,9.855378e-7,0.000005990793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08234602,"threshold_uncertainty_score":0.1726779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03814140315317256,"score_gpt":0.2642102016706414,"score_spread":0.2260687985174689,"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."}}