{"id":"W4311491569","doi":"10.30683/1927-7229.2022.11.10","title":"Uncovering the Anticancer Potential of Lichen Secondary Metabolites","year":2022,"lang":"en","type":"article","venue":"Journal of Analytical Oncology","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky; Slovenská Akadémia Vied","keywords":"Usnic acid; Lichen; Antioxidant; Secondary metabolite; Secondary metabolism; Chemistry; Pharmacology; Biology; Biochemistry; Botany; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009770874,0.00008029416,0.0004021508,0.00002578354,0.0001665612,0.00001145504,0.0004289306,0.00006348996,0.004855551],"category_scores_gemma":[0.0001436494,0.00002636923,0.0002642257,0.000308195,0.0001621837,0.00007278496,0.0002196872,0.000519833,0.000004367079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000788327,"about_ca_system_score_gemma":0.0001181313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005027819,"about_ca_topic_score_gemma":0.00004271793,"domain_scores_codex":[0.9985894,0.0002998273,0.000513946,0.0001037088,0.000280615,0.0002125145],"domain_scores_gemma":[0.9987017,0.0006374938,0.0003979921,0.00004362533,0.0001314933,0.00008769515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002510247,0.002557958,0.05446287,0.00003387627,0.001681546,0.000671398,0.0009292316,0.003016032,0.6067306,0.02193561,0.02948967,0.2759809],"study_design_scores_gemma":[0.0008663386,0.005939966,0.3105996,0.000004935762,0.0004063577,0.0007739941,0.002507518,0.0007329836,0.001681843,0.006260706,0.6700283,0.0001974018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843017,0.0005751964,0.000007857568,0.01039662,0.0004989235,0.00005566622,0.00002018209,0.000004076542,0.004139766],"genre_scores_gemma":[0.9978068,0.00007000741,0.00008039291,0.001318609,0.0004847451,0.000002108331,0.000002120871,7.929075e-7,0.0002344169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6405387,"threshold_uncertainty_score":0.9960542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538926572848364,"score_gpt":0.2569135678361845,"score_spread":0.2415243021077009,"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."}}