{"id":"W6950389991","doi":"10.5281/zenodo.7586615","title":"THE USE OF GRAVIOLA FRUIT IN THE TREATMENT OF CANCER","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bioactive natural compounds","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Cancer; Cancer treatment; Tree (set theory); Disease","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":[0.0002013592,0.0001921619,0.0002097625,0.000706714,0.0002651734,0.0003614574,0.0001930555,0.0004717714,0.00596523],"category_scores_gemma":[0.0001858898,0.00005838918,0.0002823556,0.0004239342,0.000368279,0.0003472882,0.0003691256,0.0007789985,0.001068346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224771,"about_ca_system_score_gemma":0.0001630771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007569621,"about_ca_topic_score_gemma":0.00198024,"domain_scores_codex":[0.9999355,0.00001554824,0.000004055373,0.00001429014,0.00002194493,0.0000087228],"domain_scores_gemma":[0.9999347,0.00002071538,0.00001335442,0.000005571514,0.00001155829,0.00001411151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001674319,0.0004773457,0.001782729,0.00466674,0.0001976724,0.001310009,0.0002640458,0.0003233806,0.1923737,0.009807777,0.0215393,0.765583],"study_design_scores_gemma":[0.0002818853,0.002640972,0.01232937,0.0008338169,0.0002503393,0.006246892,0.000234335,0.0002622211,0.07926261,0.005270599,0.8923258,0.00006123881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08152927,0.8691009,0.00284388,0.006690598,0.001270286,0.00007527404,0.0004641921,0.0001762278,0.03784935],"genre_scores_gemma":[0.5140626,0.4431535,0.003668762,0.003436773,0.000971231,0.00005149879,0.0005458643,0.00006102338,0.03404879],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00596523,"threshold_uncertainty_score":0.01995569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07422605841131086,"score_gpt":0.3018469783646468,"score_spread":0.2276209199533359,"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."}}