{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001478592,0.0002874882,0.0003246413,0.0003005026,0.0001838252,0.0001549326,0.0001246223,0.0002096187,0.0007367296],"category_scores_gemma":[0.00005706899,0.00007882698,0.0003161875,0.0002735265,0.00009011851,0.0001521849,0.000171683,0.0004337633,0.0002004277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000159608,"about_ca_system_score_gemma":0.0001749381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616066,"about_ca_topic_score_gemma":0.003217262,"domain_scores_codex":[0.9999194,0.00001461526,0.00001028349,0.00001304476,0.00002652323,0.0000161033],"domain_scores_gemma":[0.9999545,0.000009390847,0.00001029482,0.00000474639,0.00001149416,0.000009671885],"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":[0.0001971661,0.0001580774,0.0002904759,0.0001203708,0.000006665457,0.00007301598,0.00003657391,0.0002151428,0.9960117,0.00004210691,0.00009503782,0.002753559],"study_design_scores_gemma":[0.00004463998,0.003506062,0.00810586,0.00002938218,0.00006183614,0.000250164,0.0001263457,0.001139165,0.9809795,0.00007638067,0.005670047,0.00001049756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990164,0.004204071,0.001695573,0.0001734417,0.00004500682,0.00006975501,0.0007505638,0.00006022199,0.002837386],"genre_scores_gemma":[0.9897724,0.003236506,0.002785966,0.0001052256,0.00001361519,0.00007474115,0.0009288765,0.00001028233,0.003072463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001616066,"threshold_uncertainty_score":0.003213286,"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."}}