{"id":"W7077914981","doi":"10.17632/3fcpn5zp8r.1","title":"Pistachio leaf waste transformed into a gut-targeted bioactive phytocomplex","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Antioxidant; Pistacia; Cytotoxicity; Functional food; Immune system; Gut flora; Human studies; Anti-inflammatory","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":[0.0008155478,0.001419941,0.0009460972,0.002978874,0.0006931406,0.001570063,0.001631644,0.001670903,0.02436777],"category_scores_gemma":[0.003973083,0.0002604835,0.001270214,0.004804784,0.0004305938,0.0006243953,0.001331914,0.001058551,0.01578076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158417,"about_ca_system_score_gemma":0.00211981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02042409,"about_ca_topic_score_gemma":0.04247465,"domain_scores_codex":[0.9992942,0.0001018972,0.000100837,0.0002342361,0.0001626436,0.0001062462],"domain_scores_gemma":[0.9988596,0.0004427306,0.0001488552,0.0002370257,0.0002134807,0.0000982736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007153691,0.0001534998,0.01194555,0.008294134,0.0003812132,0.0004295601,0.0001673917,0.002345259,0.003638035,0.002425233,0.9475087,0.02199609],"study_design_scores_gemma":[0.0002415654,0.00004407959,0.01333998,0.0006458127,0.0001353709,0.0001770294,0.0001656533,0.0009110567,0.001574581,0.001162172,0.9815684,0.0000342542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001072213,0.0002180245,0.000127395,0.00009787656,0.00003585621,0.00001935233,0.9971398,0.0002953942,0.0009941672],"genre_scores_gemma":[0.001736704,0.000141485,0.0004921484,0.0000550802,0.000003947594,0.00006839594,0.9969914,0.00003644462,0.0004743598],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02436777,"threshold_uncertainty_score":0.08151835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03404574559784428,"score_gpt":0.2866368504094358,"score_spread":0.2525911048115915,"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."}}