{"id":"W3136989044","doi":"10.20944/preprints202103.0559.v1","title":"Bioactive Compounds in <em>Leucocalocybe mongolica</em> Pharmacological and Therapeutic Applications","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Fungal Biology and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Terpene; Traditional medicine; Antioxidant; Medicinal fungi; Mushroom; Traditional Chinese medicine; Human health; Biology; Chemistry; Pharmacology; Polysaccharide; Medicine; Biochemistry; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005999518,0.0005615364,0.0009672514,0.0002497946,0.0002120783,0.00003649254,0.0005229836,0.0009658494,0.0007586677],"category_scores_gemma":[0.0001121577,0.0005261211,0.0002596899,0.0004795223,0.0005121947,0.00005307508,0.001472444,0.002047891,0.0004727273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000278259,"about_ca_system_score_gemma":0.0003137418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005337434,"about_ca_topic_score_gemma":0.00007564628,"domain_scores_codex":[0.9963846,0.0002964084,0.0007578058,0.001706915,0.00030917,0.0005451651],"domain_scores_gemma":[0.9974439,0.0003794742,0.0003028416,0.001271653,0.0002633668,0.0003388208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005774246,0.00266821,0.3939155,0.0003736898,0.001112404,0.00006243169,0.002291097,0.0001004146,0.5885088,0.003805468,0.0001272438,0.006457284],"study_design_scores_gemma":[0.00184613,0.00009251537,0.9313018,0.0001933121,0.0005900046,0.00009398501,0.0005494699,0.0005020933,0.04342662,0.002670008,0.01804196,0.0006920606],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842598,0.001904972,0.0003706448,0.002627522,0.0001592805,0.002669554,0.00008136507,0.0002440505,0.007682819],"genre_scores_gemma":[0.9916611,0.001599116,0.0005071917,0.001341059,0.0002876806,0.003543844,0.0004244556,0.00005080053,0.0005847362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5450822,"threshold_uncertainty_score":0.999719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08941962993465648,"score_gpt":0.3644705463478631,"score_spread":0.2750509164132067,"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."}}