{"id":"W4382401637","doi":"10.1111/jfpe.14406","title":"Advances in processing, encapsulation, and analysis of food flavor compounds","year":2023,"lang":"en","type":"article","venue":"Journal of Food Process Engineering","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project; Government of Jiangsu Province","keywords":"Flavor; Electronic nose; Chemistry; Encapsulation (networking); Electronic tongue; Food science; Biochemical engineering; Computer science; Nanotechnology; Materials science; Taste; Engineering","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":[0.00008504212,0.0001440527,0.0004161614,0.0009726944,0.00001409419,0.00001514131,0.0001684336,0.00008278083,0.000001351458],"category_scores_gemma":[0.0001558294,0.0001379251,0.00006394975,0.002285834,0.00002757617,0.0004430994,0.00001984587,0.0002403657,1.704248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003994929,"about_ca_system_score_gemma":0.000006194848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.27441e-7,"about_ca_topic_score_gemma":0.00000313328,"domain_scores_codex":[0.9989758,0.00000295101,0.0005074277,0.00009999597,0.0002097559,0.0002040504],"domain_scores_gemma":[0.9995456,0.00006899884,0.0001471333,0.00008325039,0.0001084632,0.00004659062],"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":[0.000006452546,0.000009688344,0.001254478,0.0005449345,0.0001633371,0.000003831902,0.0002785809,0.9310234,0.05940373,0.00007022326,0.000002983903,0.007238348],"study_design_scores_gemma":[0.0006658606,0.0002782146,0.007161808,0.0004638295,0.0003058003,0.00002573648,0.0004584455,0.5519471,0.4356271,0.002327889,0.0003396146,0.0003985721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840799,0.007922926,0.007577954,0.00001719629,0.00005549235,0.00004680861,0.000005830777,0.0002195074,0.0000743583],"genre_scores_gemma":[0.9975026,0.0009358046,0.001504631,0.000001380486,0.00002443407,0.000004518756,0.000002255226,0.00002329221,0.000001105991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3790763,"threshold_uncertainty_score":0.5624422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008647506156985315,"score_gpt":0.2391005593890217,"score_spread":0.2304530532320364,"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."}}