{"id":"W2128338233","doi":"10.1186/gb-2007-8-6-r113","title":"LongSAGE profiling of nine human embryonic stem cell lines","year":2007,"lang":"en","type":"article","venue":"Genome biology","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"U.S. Public Health Service; Monash University; Genome British Columbia; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh; Michael Smith Health Research BC; Stem Cell Network; Genome Canada; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Embryonic stem cell; Induced pluripotent stem cell; Biology; Stem cell; Cell biology; Cell culture; Computational biology; Molecular biology; 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":[0.0002766605,0.0002159663,0.000242261,0.0004648294,0.0002628839,0.0003740396,0.0002002554,0.0002429496,0.0008189295],"category_scores_gemma":[0.0006007889,0.0001244935,0.0001977233,0.0003332937,0.0001089777,0.00009444406,0.0003025263,0.0003736529,0.0004678816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529428,"about_ca_system_score_gemma":0.0002231464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000516872,"about_ca_topic_score_gemma":0.001508568,"domain_scores_codex":[0.9997595,0.00002998131,0.00003302483,0.00005612208,0.00009443134,0.00002698103],"domain_scores_gemma":[0.9996166,0.0001351225,0.00004394692,0.00004274008,0.0001158363,0.00004573166],"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":[0.00009267563,0.00001388137,0.001754026,0.00002988588,0.000009268902,0.00009925647,0.00006590527,0.0001175323,0.9932885,0.00009130229,0.0001246661,0.004313066],"study_design_scores_gemma":[0.00002409946,0.0003443718,0.02880995,0.00001883541,0.0001109834,0.0008928181,0.0001326849,0.002026807,0.9530431,0.0001976846,0.01437783,0.00002090959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715507,0.0008583021,0.01726874,0.0001943962,0.00005893932,0.0001119456,0.006911492,0.0002541813,0.002791329],"genre_scores_gemma":[0.9102174,0.001523744,0.0401816,0.0003388503,0.00003311615,0.0002411566,0.0415295,0.0001576956,0.005776866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008189295,"threshold_uncertainty_score":0.002739608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734545921328247,"score_gpt":0.2937659628277928,"score_spread":0.2764205036145104,"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."}}