{"id":"W4411162400","doi":"10.1080/10408398.2025.2516136","title":"Artificial intelligence-assisted identification and screening strategies in sweetener design","year":2025,"lang":"en","type":"review","venue":"Critical Reviews in Food Science and Nutrition","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Artificial Sweetener; Identification (biology); Sucralose; Sweetening agents; Biotechnology; Computer science; Biochemical engineering; Food science; Chemistry; Biology; Engineering; Sugar","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":[0.001288658,0.001210202,0.001510734,0.002355038,0.0003117203,0.001434256,0.00105233,0.001285102,0.002481257],"category_scores_gemma":[0.001671715,0.0004773201,0.001185781,0.002252363,0.0007242896,0.001601769,0.0009034317,0.002093026,0.001312566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007431503,"about_ca_system_score_gemma":0.001058819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000953241,"about_ca_topic_score_gemma":0.001295427,"domain_scores_codex":[0.9994079,0.0001638106,0.00005732048,0.00009885455,0.0002339707,0.00003817027],"domain_scores_gemma":[0.9993641,0.0004046019,0.00006468237,0.00002407746,0.0001195684,0.00002294115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007524806,0.0001664151,0.0003076397,0.0283155,0.0002722677,0.0002993882,0.0001337183,0.004620314,0.01018564,0.02705547,0.01089748,0.9176709],"study_design_scores_gemma":[0.00005818374,0.0006682282,0.001278338,0.007206507,0.0005213317,0.001362841,0.0001570781,0.006698112,0.01407695,0.02409717,0.9437367,0.0001385805],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008469814,0.9856452,0.008736142,0.0005645312,0.0002859608,0.00003906316,0.00004967908,0.00005236224,0.003780144],"genre_scores_gemma":[0.007726302,0.9839737,0.006530424,0.0003602601,0.0001545975,0.00005277545,0.00007499388,0.000007503232,0.001119467],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002481257,"threshold_uncertainty_score":0.008300602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2127695331833959,"score_gpt":0.4327653390020874,"score_spread":0.2199958058186915,"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."}}