{"id":"W3006516459","doi":"10.1021/acsomega.9b04173","title":"DMN-Tre Labeling for Detection and High-Content Screening of Compounds against Intracellular Mycobacteria","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Mycobacterium research and diagnosis","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Intracellular; Mycobacterium tuberculosis; In vitro; Conjugate; Mycobacterium; Chemistry; Computational biology; Molecular biology; Biology; Tuberculosis; Microbiology; Biochemistry; Bacteria; Medicine; Genetics; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001428143,0.0001226447,0.0003086131,0.00007439499,0.00007372585,0.00003509429,0.000064956,0.00007980703,0.000008496701],"category_scores_gemma":[0.0004885765,0.000110449,0.00006110567,0.000153727,0.00004905502,0.0001121689,0.0000616045,0.0001427571,0.000004336513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002292642,"about_ca_system_score_gemma":0.0000309588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008683396,"about_ca_topic_score_gemma":0.00001043842,"domain_scores_codex":[0.9990417,0.00002748221,0.000257116,0.0002357753,0.0001883003,0.0002496761],"domain_scores_gemma":[0.999177,0.0001686058,0.00008204606,0.0001417875,0.0001707579,0.0002598042],"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":[0.0007871133,0.00004426544,0.01410837,0.0003606796,0.00008555459,0.00001632742,0.0001708227,0.000002144039,0.9543714,0.00003982775,0.0002546402,0.02975884],"study_design_scores_gemma":[0.006593839,0.001591959,0.07262506,0.00034694,0.0001772164,0.00002188382,0.0004755302,0.00261813,0.9015278,0.00004726675,0.01369703,0.0002773784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946871,0.0005818978,0.001801037,0.00222752,0.00008182195,0.0004589984,0.00004362012,0.00004756291,0.00007046848],"genre_scores_gemma":[0.9960759,0.0002867058,0.002668237,0.000508291,0.0002856329,0.00003889552,0.00008073377,0.00002343118,0.00003212942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05851669,"threshold_uncertainty_score":0.4503978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05716149037965465,"score_gpt":0.2710332672555198,"score_spread":0.2138717768758652,"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."}}