{"id":"W2107667389","doi":"10.3389/fgene.2013.00209","title":"A comprehensive promoter landscape identifies a novel promoter for CD133 in restricted tissues, cancers, and stem cells","year":2013,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cancer Council Victoria; RIKEN; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Culture, Sports, Science and Technology; Cure Cancer Australia Foundation; National Cancer Institute; Cancer Australia; Melanoma Research Alliance","keywords":"Biology; Promoter; Stem cell; Epigenetics; Transcription factor; Cancer stem cell; Gene; Exon; Cancer research; Genetics; Molecular biology; Gene expression","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001318466,0.0001780007,0.000229716,0.0004504285,0.0001745889,0.0003339053,0.0001135992,0.0001410058,0.001442218],"category_scores_gemma":[0.0001962277,0.0001778414,0.0001968557,0.0003178923,0.0002410792,0.0001710562,0.0003073086,0.0002935802,0.0005465507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001849101,"about_ca_system_score_gemma":0.000309931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004347009,"about_ca_topic_score_gemma":0.001216265,"domain_scores_codex":[0.9998907,0.000006073217,0.000004689788,0.00004832674,0.00003021094,0.00002012986],"domain_scores_gemma":[0.9998353,0.00003169266,0.0000482272,0.00001649118,0.00002750532,0.00004074871],"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":[0.00009768883,0.000008210146,0.003266993,0.00003115823,0.000003498258,0.00005481656,0.00004304468,0.000100499,0.9919667,0.0002159461,0.00005363197,0.004157834],"study_design_scores_gemma":[0.00001916247,0.0003447763,0.124811,0.00002616778,0.00005971197,0.002737001,0.0001884104,0.003684336,0.8571156,0.001065174,0.00992717,0.00002145271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764816,0.001182938,0.01791832,0.00008154762,0.000006774072,0.00003557307,0.001987374,0.0002640035,0.002041903],"genre_scores_gemma":[0.9799053,0.0005647772,0.01368602,0.00007568698,0.00001065756,0.00004545289,0.003318821,0.00009068225,0.002302627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001442218,"threshold_uncertainty_score":0.004824698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02187810072904563,"score_gpt":0.2560383962944091,"score_spread":0.2341602955653635,"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."}}