{"id":"W2408468753","doi":"10.1158/1557-3125.metca15-a87","title":"Abstract A87: Targeting the mitochondrial quality control machinery in acute myeloid leukemia","year":2016,"lang":"en","type":"article","venue":"Molecular Cancer Research","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Gene knockdown; Stem cell; Haematopoiesis; Downregulation and upregulation; Biology; Cancer research; Myeloid leukemia; Progenitor cell; Cell biology; Mitochondrion; Myeloid; Small hairpin RNA; Molecular biology; Apoptosis; Gene; Biochemistry","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":[0.0003244674,0.0003308674,0.0005351005,0.0008128301,0.0003108176,0.0007367308,0.0002953091,0.0003442276,0.002791266],"category_scores_gemma":[0.00060207,0.0001181846,0.0004211098,0.001602255,0.0001543104,0.0002370108,0.0006542226,0.0005255124,0.001081723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006024888,"about_ca_system_score_gemma":0.0005257304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002075457,"about_ca_topic_score_gemma":0.002519066,"domain_scores_codex":[0.9996884,0.0000427628,0.00002869513,0.00009205976,0.0001061198,0.00004207462],"domain_scores_gemma":[0.9997824,0.0000441195,0.00006605107,0.00002573424,0.00004315633,0.00003855257],"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":[0.004899899,0.0003966641,0.166377,0.004728104,0.001156112,0.001302486,0.0002973589,0.01054733,0.5152053,0.002621911,0.05873482,0.2337331],"study_design_scores_gemma":[0.0008402914,0.001618454,0.504701,0.0007609461,0.001517846,0.003581607,0.0005361767,0.02460139,0.2123076,0.008280794,0.2411492,0.0001047675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8825542,0.01866216,0.006649598,0.001395899,0.0001966248,0.0001576254,0.08291346,0.001411431,0.006058984],"genre_scores_gemma":[0.8709374,0.009389479,0.007300455,0.0009091296,0.00007063687,0.0001794627,0.1083659,0.0001643077,0.00268329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002791266,"threshold_uncertainty_score":0.009337664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943254041362569,"score_gpt":0.3984662675229361,"score_spread":0.3590337271093104,"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."}}