{"id":"W1977858547","doi":"10.1038/nmeth.2684","title":"High-throughput fingerprinting of human pluripotent stem cell fate responses and lineage bias","year":2013,"lang":"en","type":"article","venue":"Nature Methods","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"Heart and Stroke Foundation; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Induced pluripotent stem cell; Biology; SOX2; Cell fate determination; Embryonic stem cell; Cell biology; Lineage markers; Cellular differentiation; Stem cell; Computational biology; Progenitor cell; Genetics; Transcription factor; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00156196,0.0002100455,0.0002957826,0.0001125598,0.0001105523,0.00004493436,0.0002935635,0.0004994652,0.00003467511],"category_scores_gemma":[0.0002544344,0.0001799805,0.0001057794,0.0001468828,0.0001313985,0.000007793283,0.0004469845,0.0005065066,0.000007548085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001471118,"about_ca_system_score_gemma":0.00004575113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008853702,"about_ca_topic_score_gemma":0.000005071025,"domain_scores_codex":[0.9977158,0.0008380835,0.000351492,0.0005024527,0.000243267,0.0003489566],"domain_scores_gemma":[0.9987578,0.0001966238,0.0001807143,0.0005332497,0.0002172117,0.0001144472],"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":[0.00004491401,0.00004237522,0.0008269586,0.0001180571,0.00003776751,0.000003861531,0.00005775517,0.00001229379,0.9861748,0.00005424822,0.0005080392,0.01211897],"study_design_scores_gemma":[0.0004221861,0.0002254447,0.006629696,0.00002948957,0.00001655248,0.000007596259,0.00006742041,0.00009339298,0.9842447,0.00008561547,0.007991825,0.0001860573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890316,0.00426854,0.00512834,0.0001694396,0.0001712385,0.0003431019,0.00001295459,0.00001812693,0.0008566331],"genre_scores_gemma":[0.8825538,0.0002489745,0.1119847,0.0001251782,0.0001542593,0.00002271928,0.00002265216,0.00003463434,0.004853107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068564,"threshold_uncertainty_score":0.733939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322413772194785,"score_gpt":0.3609075643164207,"score_spread":0.3286661870969422,"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."}}