{"id":"W4414398476","doi":"10.1111/1750-3841.70545","title":"Plant‐Based Analogs: Potential Chemical Risks & Mitigation Strategies","year":2025,"lang":"en","type":"review","venue":"Journal of Food Science","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Arrell Food Institute, University of Guelph","keywords":"Food safety; Product (mathematics); Food products; Agrochemical; Purchasing; Quality (philosophy); Health benefits; Chemical products","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009749235,0.000645251,0.0006439087,0.0009917846,0.0005061742,0.00151124,0.0008285255,0.001353218,0.009857937],"category_scores_gemma":[0.0007332698,0.0002548667,0.0008175249,0.00073452,0.0005579473,0.001631031,0.001101564,0.001709324,0.001573499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009171828,"about_ca_system_score_gemma":0.001701753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001541597,"about_ca_topic_score_gemma":0.004517079,"domain_scores_codex":[0.9995151,0.0001046863,0.00002869081,0.00007785432,0.0002007023,0.00007298867],"domain_scores_gemma":[0.9995036,0.0001618506,0.0001348385,0.00002558198,0.0001400556,0.00003402105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003598141,0.0004800613,0.003167033,0.03148878,0.000316735,0.002272779,0.0005304186,0.005279901,0.10001,0.0561892,0.03099131,0.7689139],"study_design_scores_gemma":[0.00003591393,0.0007225232,0.002432098,0.004194823,0.0003648792,0.00165638,0.0008443918,0.001453931,0.03177161,0.01733818,0.9391233,0.00006209107],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04747335,0.7922837,0.04162817,0.0201952,0.001566537,0.000474381,0.001489122,0.000478196,0.09441137],"genre_scores_gemma":[0.2229015,0.7173787,0.02607021,0.005415391,0.0004322874,0.0002978185,0.000933519,0.00007893355,0.02649152],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009857937,"threshold_uncertainty_score":0.03297806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03098105092218534,"score_gpt":0.3210822800030929,"score_spread":0.2901012290809075,"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."}}