{"id":"W4393452560","doi":"10.5281/zenodo.10224524","title":"Albarello for St. John's wort syrup","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food science; Traditional medicine; Chemistry; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003918729,0.001592423,0.00102972,0.002519739,0.0006102325,0.002364827,0.001367058,0.001170377,0.2871946],"category_scores_gemma":[0.002693112,0.0004111873,0.0007380536,0.003533871,0.0002619704,0.001552517,0.001864537,0.001001559,0.4219552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006574603,"about_ca_system_score_gemma":0.0009695104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009116837,"about_ca_topic_score_gemma":0.022116,"domain_scores_codex":[0.9995905,0.00004877722,0.00004261084,0.0001514676,0.000100208,0.00006637923],"domain_scores_gemma":[0.9991373,0.0001586729,0.0001098214,0.0002330692,0.0001868418,0.0001742441],"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":[0.00005276105,0.000009216307,0.0002930936,0.0002493562,0.000005037032,0.00001236781,0.000005915415,0.00004232069,0.0000459583,0.0002254243,0.9931778,0.005880764],"study_design_scores_gemma":[0.00003799276,0.000007633501,0.001592852,0.0001588105,0.000005786718,0.00004750472,0.00003004205,0.0001014803,0.0001166293,0.0004888447,0.9974045,0.000007847324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002674645,0.0003908173,0.0001565942,0.0001977184,0.00009873223,0.0000203935,0.9872613,0.0009984558,0.01060845],"genre_scores_gemma":[0.001030494,0.0004603968,0.0004560431,0.000188538,0.00004225409,0.00006321928,0.9868147,0.0003034693,0.01064078],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2871946,"threshold_uncertainty_score":0.9607615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332933133697268,"score_gpt":0.2643893563884219,"score_spread":0.2310600250514492,"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."}}