{"id":"W3081793749","doi":"10.1126/sciadv.abb4591","title":"The NEMP family supports metazoan fertility and nuclear envelope stiffness","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; Hospital for Sick Children; Genome Canada; Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"National Institute of General Medical Sciences; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Heart, Lung, and Blood Institute; Krembil Foundation; Canadian Institutes of Health Research; Genome Canada; Ontario Genomics; Canada Research Chairs; Wellcome Trust","keywords":"Softening; Envelope (radar); Fertility; Stiffness; Computer science; Biology; Medicine; Materials science; Structural engineering; Engineering; Telecommunications; Composite material; Population; Environmental health","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":[0.00019793,0.0002980218,0.0001272102,0.000283399,0.0004013764,0.0002542815,0.0001977399,0.0003290639,0.002012915],"category_scores_gemma":[0.0002170443,0.0001321186,0.0001338261,0.0001042071,0.0003812176,0.0003048015,0.000585766,0.0003860444,0.0005459592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002449973,"about_ca_system_score_gemma":0.0002276334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003901891,"about_ca_topic_score_gemma":0.0007665108,"domain_scores_codex":[0.9999372,0.000006963912,0.000003096453,0.00001374662,0.00002872224,0.00001023363],"domain_scores_gemma":[0.9998944,0.00001099986,0.00003069966,0.000009867886,0.00001725409,0.00003674184],"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":[0.00005011199,0.000005251373,0.001168298,0.00003480932,0.000005577676,0.0002172794,0.00001579173,0.0001146451,0.9939062,0.0007452578,0.0001147311,0.003622033],"study_design_scores_gemma":[0.00002551727,0.0001224174,0.06959129,0.00002663113,0.0000319512,0.002737572,0.0001013447,0.002344624,0.8995942,0.001444095,0.02396395,0.00001645912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798746,0.002597153,0.007779059,0.0004099825,0.00003264804,0.00001222012,0.0003349478,0.0001903832,0.008769175],"genre_scores_gemma":[0.9934791,0.0008975497,0.001985255,0.00004737035,0.000008355737,0.000007749979,0.0002887365,0.00002080134,0.003264902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002012915,"threshold_uncertainty_score":0.006733835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008547457033985023,"score_gpt":0.2403566186406681,"score_spread":0.2318091616066831,"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."}}