{"id":"W3009077330","doi":"10.1101/2020.03.02.972893","title":"Defining totipotency using criteria of increasing stringency","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; Lunenfeld-Tanenbaum Research Institute; Sinai Health System; Public Health Ontario; Hospital for Sick Children","funders":"Uppsala Multidisciplinary Center for Advanced Computational Science; Knut och Alice Wallenbergs Stiftelse; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec - Santé; Vlaamse regering; Science for Life Laboratory; Vetenskapsrådet; Fonds Wetenschappelijk Onderzoek; Canadian Institutes of Health Research; Center for Innovative Medicine; Ontario Genomics; KU Leuven; Genome Canada","keywords":"Totipotent; Biology; Induced pluripotent stem cell; Embryonic stem cell; Conceptus; Cell biology; Stem cell; Cell type; Computational biology; Biotechnology; Cell; Genetics; Gene","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":[0.002205842,0.0005029133,0.0004278037,0.003342678,0.0006458942,0.00168901,0.0005200181,0.0006640232,0.00188469],"category_scores_gemma":[0.002969544,0.0002652632,0.0002846113,0.001313686,0.001145925,0.0009791007,0.00121752,0.001309137,0.0005031929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005105228,"about_ca_system_score_gemma":0.0002851374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000387768,"about_ca_topic_score_gemma":0.0007019021,"domain_scores_codex":[0.9977244,0.0005504061,0.000519545,0.0002761594,0.0008089315,0.0001206339],"domain_scores_gemma":[0.9949085,0.001999892,0.0009346624,0.0003444843,0.001503813,0.0003086772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001674291,0.0000257854,0.002932631,0.0001600577,0.00001698987,0.0001500683,0.0001813992,0.0005751359,0.9841214,0.003645632,0.0001594318,0.007863916],"study_design_scores_gemma":[0.00001308425,0.0002402627,0.008334063,0.00005606421,0.00004784294,0.0005674096,0.0002000029,0.003689528,0.9771323,0.003399709,0.006269936,0.00004989779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6851976,0.004376793,0.2838751,0.0003401583,0.0001996269,0.0006975058,0.00108321,0.0007121125,0.02351796],"genre_scores_gemma":[0.7934322,0.002009747,0.1977476,0.0002017077,0.00003165236,0.0006709184,0.001201585,0.0003661805,0.004338346],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003342678,"threshold_uncertainty_score":0.01166576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321184276886304,"score_gpt":0.2690232257485142,"score_spread":0.2458113829796511,"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."}}