{"id":"W4398782914","doi":"10.3390/ijms25115704","title":"Identification of 3-Aryl-1-benzotriazole-1-yl-acrylonitrile as a Microtubule-Targeting Agent (MTA) in Solid Tumors","year":2024,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"HeLa; Cell cycle; Cell cycle checkpoint; Cancer; Cancer research; Cancer cell; Biology; Cell growth; Cell culture; Cell; Biochemistry; Genetics","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":[0.003183759,0.0001324381,0.0002203474,0.001049308,0.00005021631,0.0005258307,0.002093194,0.00003831702,0.00001878708],"category_scores_gemma":[0.0004909781,0.0001196786,0.0002004396,0.001013007,0.0001534795,0.001426695,0.0002760878,0.0002122226,0.00001796678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001453377,"about_ca_system_score_gemma":0.0007259534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003035584,"about_ca_topic_score_gemma":0.000002278128,"domain_scores_codex":[0.9967522,0.0001416508,0.001071853,0.0003269717,0.00150853,0.0001987916],"domain_scores_gemma":[0.9984016,0.0003388268,0.0005372537,0.0001396703,0.0005100701,0.00007251318],"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":[0.00003614344,0.0001888982,0.0003277994,0.00003839084,0.0001277822,0.00108948,0.001895671,0.252564,0.6516359,0.0645485,0.0001914186,0.02735602],"study_design_scores_gemma":[0.0005231018,0.000240657,0.003175182,0.0006601779,0.00001686484,0.0007867095,0.0003227198,0.3677038,0.5423023,0.08333354,0.0006352985,0.0002997467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6498213,0.001605396,0.3449731,0.001644337,0.001701144,0.00007661839,0.000004094802,0.00001546813,0.0001585566],"genre_scores_gemma":[0.981079,0.00006215919,0.01857296,0.0001445639,0.0001113558,0.000003390703,0.000001404289,0.000007222882,0.00001787834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3312578,"threshold_uncertainty_score":0.5070598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01744431206536122,"score_gpt":0.349790947855194,"score_spread":0.3323466357898328,"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."}}