{"id":"W2017177119","doi":"10.4236/fns.2010.12008","title":"Optimization of Bioactive Fortification in Apple Snacks through Vacuum Impregnation Using Response Surface Methodology","year":2010,"lang":"en","type":"article","venue":"Food and Nutrition Sciences","topic":"Food Drying and Modeling","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Department of Agriculture; Dalhousie University","funders":"Atlantic Canada Opportunities Agency","keywords":"Response surface methodology; Central composite design; Chemistry; Food science; Fortification; Vacuum drying; Chromatography; Freeze-drying","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":[0.001081804,0.0000632915,0.0001091975,0.00003197369,0.0001802481,0.00003189543,0.00009091356,0.00008850326,0.00001155628],"category_scores_gemma":[0.0001176123,0.00003098488,0.00002410735,0.000479732,0.0001605131,0.0003154427,0.00002115415,0.00007426287,2.44521e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009153179,"about_ca_system_score_gemma":0.00001228572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002618044,"about_ca_topic_score_gemma":0.0002709783,"domain_scores_codex":[0.9991583,0.0001675904,0.0001928042,0.0002290409,0.0001287146,0.0001235647],"domain_scores_gemma":[0.9993973,0.0003483549,0.0001193831,0.00002918315,0.00008238891,0.00002333071],"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":[0.0001320033,0.0000665394,0.0004414576,0.000006504544,0.000001677877,6.553344e-8,0.0002799054,0.001781332,0.9948862,0.0006905012,0.000002903888,0.001710958],"study_design_scores_gemma":[0.0007024952,0.002173157,0.009256519,0.0001168914,0.00001802038,0.00001773874,0.008297154,0.1357556,0.8325914,0.01042347,0.0002991638,0.0003483912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946299,0.000125795,0.004204608,0.0007017836,0.0001000631,0.0001708583,0.00002405932,0.00001714417,0.00002577055],"genre_scores_gemma":[0.9633187,0.00005871933,0.03654508,0.00002088989,0.0000307879,0.000006499637,0.00001642598,4.733994e-7,0.000002421335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1622948,"threshold_uncertainty_score":0.1386341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1616999130355005,"score_gpt":0.3416371528513227,"score_spread":0.1799372398158222,"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."}}