{"id":"W6913043098","doi":"10.5683/sp3/xaiw2s","title":"Original NMR data files, and .pdf outputs for ITC and SPR assays for: A high-throughput screening approach to discover potential colorectal cancer chemotherapeutics: Repurposing drugs to identify novel disruptors of 14-3-3 proteins","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"14-3-3 protein interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Repurposing; Colorectal cancer; Cancer; Drug repositioning; Drug discovery; Drug","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":[0.001407052,0.003068431,0.001963693,0.002711729,0.001175279,0.002387249,0.003169653,0.002986222,0.1202138],"category_scores_gemma":[0.006829895,0.0007698169,0.001292638,0.005255737,0.0005299763,0.001252822,0.001737524,0.001937596,0.1178414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173796,"about_ca_system_score_gemma":0.00269272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319947,"about_ca_topic_score_gemma":0.02609354,"domain_scores_codex":[0.9988707,0.0001605874,0.0001229464,0.0003405916,0.0003572579,0.0001478607],"domain_scores_gemma":[0.9969957,0.00118376,0.0003022809,0.0006415077,0.0006086202,0.0002681168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003087023,0.0000840496,0.001173639,0.002214846,0.00009056237,0.00006460965,0.00002333214,0.001040801,0.001082674,0.0005730928,0.9887697,0.004574001],"study_design_scores_gemma":[0.0006117327,0.00007069266,0.00455666,0.0004023253,0.0001180009,0.0001212603,0.00005996851,0.00106834,0.002459356,0.002178597,0.9882896,0.00006350013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001432977,0.00006836888,0.0000871126,0.00003461252,0.00001527209,0.000009091107,0.9987445,0.0004129952,0.0004847592],"genre_scores_gemma":[0.0004305985,0.00006543617,0.0003926779,0.00004622973,0.000004291587,0.00004671449,0.9985633,0.00006937496,0.0003813551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1202138,"threshold_uncertainty_score":0.4021552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574868698006796,"score_gpt":0.3393419282998227,"score_spread":0.3135932413197548,"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."}}