{"id":"W6911974624","doi":"10.5281/zenodo.15388926","title":"Saliohelea Wirth & Ratanaworabhan","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phytochemicals and Medicinal Plants","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal British Columbia Museum","funders":"","keywords":"Period (music); Natural (archaeology); Term (time); Object (grammar)","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":[0.00007886879,0.0008267892,0.000368538,0.002080445,0.001178472,0.0004255299,0.000464472,0.0003241795,0.01860462],"category_scores_gemma":[0.00009815396,0.0001745457,0.0002810224,0.001440445,0.0003419557,0.0008435356,0.0007956374,0.000685413,0.00590474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002446379,"about_ca_system_score_gemma":0.0005279359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004486127,"about_ca_topic_score_gemma":0.00910065,"domain_scores_codex":[0.9999104,0.00000621208,0.000008744687,0.00003188014,0.00002555086,0.00001735127],"domain_scores_gemma":[0.999934,0.00001038959,0.00001261621,0.00000977933,0.00001910315,0.00001420024],"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":[0.0005063217,0.0003226349,0.003888443,0.0009077051,0.00006425605,0.002105482,0.001428986,0.0004041403,0.3115859,0.005370702,0.00542182,0.6679936],"study_design_scores_gemma":[0.0001715298,0.001359946,0.2756967,0.0005131777,0.0003098821,0.01296767,0.00362382,0.0007219019,0.09124643,0.01213958,0.6010935,0.000155998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5728869,0.03709298,0.008523835,0.002906263,0.0007935853,0.0008713826,0.005413255,0.001414762,0.370097],"genre_scores_gemma":[0.8620455,0.01410087,0.007530792,0.001019422,0.0002177337,0.0002508168,0.004194024,0.0001448529,0.1104959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01860462,"threshold_uncertainty_score":0.06223863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267900732663318,"score_gpt":0.2778644213738014,"score_spread":0.2510743481074695,"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."}}