{"id":"W4403568813","doi":"10.1016/j.htct.2024.09.839","title":"ANTITUMORAL POTENTIAL OF GREEN MICROALGAE EXTRACTS IN CHRONIC MYELOID LEUKEMIA (CML) IN VITRO MODEL","year":2024,"lang":"en","type":"article","venue":"Hematology Transfusion and Cell Therapy","topic":"Cancer and biochemical research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cambrian College; Laurentian University","funders":"","keywords":"Myeloid leukemia; Medicine; In vitro; Chronic myeloid leukaemia; Cancer research; Pharmacology; Traditional medicine; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001301839,0.0001327782,0.0002188825,0.0001113456,0.00001964417,0.000009464163,0.0001140142,0.0002244397,0.00004164517],"category_scores_gemma":[0.000002059035,0.0001156067,0.00007912776,0.0001362033,0.0001284103,0.000004796838,0.00002332131,0.000202684,0.000001729453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003734581,"about_ca_system_score_gemma":0.0002854336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003428253,"about_ca_topic_score_gemma":0.0003149738,"domain_scores_codex":[0.9990129,0.00004142809,0.0002315249,0.0003552753,0.00009552424,0.0002632763],"domain_scores_gemma":[0.9997612,0.00001069357,0.00001653328,0.0001366611,0.00001823391,0.00005664615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009121703,0.00006586668,0.0001909011,0.0001546349,0.000009439214,0.00003791006,0.00009548829,0.00004228991,0.9811886,0.0000372674,0.00005877698,0.01720665],"study_design_scores_gemma":[0.001475567,0.000156394,0.0004295722,0.00003905148,0.000003279827,0.00004566682,0.00002905952,0.00404459,0.9929308,0.0001706252,0.0005521443,0.000123244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773569,0.0214494,0.0004726517,0.0001759731,0.00004575971,0.0001749704,0.0000156692,0.000007143984,0.000301549],"genre_scores_gemma":[0.9736459,0.02581885,0.0000924083,0.0000791941,0.00003608701,0.00001576238,0.00004598656,0.00001554447,0.0002503087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0170834,"threshold_uncertainty_score":0.4714303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01116784177843098,"score_gpt":0.2715922538467069,"score_spread":0.2604244120682759,"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."}}