{"id":"W2795286737","doi":"10.1101/266395","title":"A genome-wide miRNA screen identifies regulators of tetraploid cell proliferation","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Hippo pathway signaling and YAP/TAZ","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Cancer Institute; Searle Scholars Program; Melanoma Research Alliance","keywords":"Biology; Carcinogenesis; microRNA; Hippo signaling pathway; Cell growth; Suppressor; Mitosis; Cell biology; Downregulation and upregulation; Cancer research; Genome; Gene; Genetics; Cell division; Cell","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003472005,0.0004500235,0.0005228748,0.0006094237,0.000213701,0.000456386,0.0002552949,0.0003449644,0.001443412],"category_scores_gemma":[0.0002772406,0.0002378121,0.0003664699,0.0002833842,0.0001727406,0.0001591831,0.0002934316,0.0004534792,0.0004161401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002553684,"about_ca_system_score_gemma":0.0002586961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002947106,"about_ca_topic_score_gemma":0.0008285808,"domain_scores_codex":[0.9997665,0.00002158195,0.00002586339,0.00006853747,0.0000875585,0.00002987244],"domain_scores_gemma":[0.999761,0.00006896209,0.00007348289,0.00002243287,0.00002772817,0.00004630019],"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":[0.0000470064,0.00001741272,0.0003293158,0.00002418185,0.00001041185,0.00005215162,0.0000054453,0.0000768113,0.9980997,0.00003087354,0.00005143532,0.001255207],"study_design_scores_gemma":[0.00004956564,0.0008788139,0.01322138,0.000009473708,0.0001155235,0.0006842006,0.0000335591,0.002878796,0.9770808,0.00009800548,0.004932742,0.00001708551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9718981,0.003531485,0.01616766,0.000224935,0.00007929298,0.0002622005,0.004167606,0.0008213824,0.002847353],"genre_scores_gemma":[0.9773462,0.001847581,0.01238519,0.0002740389,0.00002323469,0.0001913271,0.004484609,0.0001066273,0.003341368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001443412,"threshold_uncertainty_score":0.004828691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009912909807447351,"score_gpt":0.2079080810460246,"score_spread":0.1979951712385772,"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."}}