{"id":"W4246667706","doi":"10.1002/cbic.200990056","title":"Targeting Mitochondria with Organelle‐Specific Compounds: Strategies and Applications","year":2009,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Organelle; Mitochondrion; Chemistry; Computational biology; Membrane; Nanotechnology; Cell biology; Biochemistry; Biophysics; Biology; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005299985,0.0001662745,0.0001353017,0.00002892053,0.0001251535,0.00007440041,0.0001152811,0.0001438275,0.00003893803],"category_scores_gemma":[0.00001000325,0.0001477138,0.00003038379,0.0001051423,0.0001026373,0.000007304875,0.00002964625,0.00009866012,0.00002096928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006903839,"about_ca_system_score_gemma":0.00004866702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001081681,"about_ca_topic_score_gemma":0.000001619816,"domain_scores_codex":[0.9991426,0.00001951235,0.0001503826,0.0004088737,0.00007575168,0.0002028259],"domain_scores_gemma":[0.9994754,0.000008644721,0.00006142987,0.0002852367,0.00007719017,0.00009208135],"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":[0.00007538085,0.00004269523,0.00008933673,0.00000806036,0.00001267942,0.000002068035,0.00004762429,0.000009517345,0.9912004,0.001345581,0.006511897,0.0006546847],"study_design_scores_gemma":[0.0006305526,0.0002775481,0.0002006244,0.00000667428,0.00001158996,0.00007455262,0.0007178123,0.000005488751,0.8243985,0.0002935489,0.173138,0.0002451111],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8934861,0.005643289,0.06684653,0.0006157542,0.0002861534,0.0008697584,0.00001758293,0.0001374581,0.03209735],"genre_scores_gemma":[0.9920362,0.0002696449,0.005124569,0.0004356796,0.000782268,0.00003939673,0.00027895,0.00001994274,0.001013311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1668019,"threshold_uncertainty_score":0.6023595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008372528672104404,"score_gpt":0.2221579280456983,"score_spread":0.2137853993735939,"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."}}