{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008272699,0.0006336829,0.0002873879,0.0008159688,0.0001523521,0.0004782414,0.0002740672,0.0004619003,0.0006738359],"category_scores_gemma":[0.0002970616,0.0002598664,0.0003884798,0.0006612625,0.0002621943,0.001005637,0.0003326201,0.0005909373,0.0004127635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003590156,"about_ca_system_score_gemma":0.0002655504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005113378,"about_ca_topic_score_gemma":0.0005341751,"domain_scores_codex":[0.9996432,0.00004934637,0.0000249044,0.00008825849,0.0001633446,0.00003090212],"domain_scores_gemma":[0.9998078,0.00004549747,0.00003471635,0.0000137504,0.00008720477,0.00001109765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006365783,0.00007180295,0.001019138,0.001215794,0.00003615317,0.00009469154,0.00005609865,0.0007044966,0.8634716,0.002027146,0.0008260187,0.1304134],"study_design_scores_gemma":[0.00001058301,0.0003070596,0.003181822,0.00009060268,0.00006814147,0.0004985795,0.00004769597,0.00445707,0.91609,0.001018467,0.07418743,0.0000426042],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2809135,0.5259742,0.1696343,0.001854635,0.001022389,0.0001567523,0.0005038698,0.0004908767,0.01944944],"genre_scores_gemma":[0.5313144,0.3071556,0.1456145,0.001022913,0.0006492547,0.0001780808,0.0007021704,0.0001266905,0.01323636],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0008272699,"threshold_uncertainty_score":0.004375041,"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."}}