{"id":"W2937126128","doi":"10.1016/j.celrep.2019.02.041","title":"Essential Gene Profiles for Human Pluripotent Stem Cells Identify Uncharacterized Genes and Substrate Dependencies","year":2019,"lang":"en","type":"article","venue":"Cell Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Canadian Institute for Advanced Research; University Health Network; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Induced pluripotent stem cell; Biology; CRISPR; Gene; Computational biology; Context (archaeology); Genetics; Genome; Stem cell; Cellular differentiation; Regenerative medicine; Embryonic stem cell; Cell biology","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":[0.0001809967,0.0002801201,0.0002748784,0.0007204926,0.0001707181,0.0003278464,0.0001909708,0.0001662898,0.001820338],"category_scores_gemma":[0.0003443029,0.0001318445,0.0003267674,0.0004391753,0.0001778492,0.0001930439,0.0002677563,0.0003111719,0.0005294547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981969,"about_ca_system_score_gemma":0.0002554381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005616763,"about_ca_topic_score_gemma":0.001537391,"domain_scores_codex":[0.9998161,0.00001441669,0.00002817911,0.00004195073,0.00007426119,0.0000251],"domain_scores_gemma":[0.9997312,0.00008377525,0.00006460679,0.00003973774,0.00003367588,0.00004696812],"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":[0.00006822864,0.000006466195,0.002365236,0.00004056146,0.000006708913,0.0001105725,0.00001311412,0.0001837165,0.9946913,0.0001652897,0.00004686233,0.002301882],"study_design_scores_gemma":[0.000007978596,0.0001012686,0.06046091,0.00001009336,0.00004965538,0.0009892539,0.00005107005,0.002025842,0.9317422,0.0003820735,0.004166354,0.00001335921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790932,0.001021295,0.01105757,0.00006962541,0.00001022844,0.00004140513,0.006497556,0.0002861628,0.001922865],"genre_scores_gemma":[0.9776314,0.0006098186,0.009859653,0.00009397986,0.000003859076,0.00004139859,0.01009696,0.0001569547,0.00150602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001820338,"threshold_uncertainty_score":0.006089568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008317772701550378,"score_gpt":0.2620412780381269,"score_spread":0.2537235053365766,"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."}}