{"id":"W2980551130","doi":"10.3390/biomedicines7040082","title":"Cyst Reduction in a Polycystic Kidney Disease Drosophila Model Using Smac Mimics","year":2019,"lang":"en","type":"article","venue":"Biomedicines","topic":"Genetic and Kidney Cyst Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Université de Montréal; Centre in Green Chemistry and Catalysis; Fonds Québécois de la Recherche sur la Nature et les Technologies; Concordia University","keywords":"Autosomal dominant polycystic kidney disease; Polycystic kidney disease; PKD1; Biology; Cyst; Disease; Cancer research; Cell biology; Pathology; Medicine; Bioinformatics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001706377,0.0003640852,0.0002337406,0.0005340979,0.0002898996,0.0003178432,0.0003021423,0.0006578975,0.001516897],"category_scores_gemma":[0.0001108615,0.0001947194,0.0003454555,0.0001697377,0.0003766311,0.0002529807,0.0002933739,0.0007759177,0.0003054607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004365689,"about_ca_system_score_gemma":0.0003305001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616787,"about_ca_topic_score_gemma":0.002628484,"domain_scores_codex":[0.9998237,0.00002782506,0.00002382504,0.00004753731,0.00005815768,0.00001895356],"domain_scores_gemma":[0.9998173,0.00003601343,0.00005738522,0.00001890535,0.00001883699,0.00005165943],"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":[0.00007921931,0.00003369615,0.000167741,0.00005849449,0.000006755523,0.0001255491,0.00002720125,0.0001910895,0.9977494,0.0005248408,0.00007047188,0.0009656168],"study_design_scores_gemma":[0.00003125967,0.0004481977,0.002433049,0.00002420446,0.00002766871,0.0005153322,0.00005927841,0.002845729,0.9883314,0.0001559198,0.00511477,0.00001323974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826127,0.001393209,0.008977044,0.0003283885,0.00008011807,0.0001771503,0.001996365,0.0002792747,0.00415572],"genre_scores_gemma":[0.9752972,0.001554817,0.01166248,0.000124817,0.000009431348,0.0001794643,0.001107588,0.00007401378,0.009990299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001616787,"threshold_uncertainty_score":0.005074561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247299997193734,"score_gpt":0.2565389966141316,"score_spread":0.2440659966421942,"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."}}