{"id":"W4392865006","doi":"10.3390/ijms25063353","title":"Deciphering “Immaturity-Stemness” in Human Epidermal Stem Cells at the Levels of Protein-Coding and Non-Coding Genomes: A Prospective Computational Approach","year":2024,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut de Recherche Clinique De Montréal; Agence Nationale de la Recherche","keywords":"Biology; KLF4; In silico; Non-coding RNA; Computational biology; Stem cell; microRNA; RNA; Long non-coding RNA; Cell biology; Gene; Genetics; Induced pluripotent stem cell; Embryonic stem cell","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":[0.0005975529,0.0006321592,0.001127032,0.0007141975,0.000481401,0.001260464,0.001149759,0.001694562,0.002284045],"category_scores_gemma":[0.001292753,0.0005791464,0.00135177,0.0006319854,0.000681115,0.0006771813,0.0006357994,0.0007872334,0.0002618668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007200481,"about_ca_system_score_gemma":0.001499748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007925282,"about_ca_topic_score_gemma":0.006364816,"domain_scores_codex":[0.9998748,0.00004884846,0.000007848851,0.00003053869,0.00002226106,0.00001563607],"domain_scores_gemma":[0.9993827,0.0004855072,0.00002581114,0.0000383171,0.00003687007,0.00003079597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002697568,0.00002941656,0.0009026173,0.00004818676,0.00003707331,0.00005075722,0.00001977422,0.9952636,0.0007186877,0.001309537,0.00007862181,0.001514888],"study_design_scores_gemma":[0.00000847808,0.00001173237,0.0001646978,0.000004963269,0.00001002454,0.000009566751,0.00001641235,0.9975386,0.0001967131,0.001864185,0.0001709779,0.000003644865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6297239,0.0008092576,0.3567318,0.001155125,0.00008783431,0.0001708277,0.003101796,0.001537422,0.006682105],"genre_scores_gemma":[0.8800139,0.0005651581,0.1140002,0.0002420572,0.0000452406,0.0004601564,0.002883659,0.0002020704,0.001587573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007925282,"threshold_uncertainty_score":0.01575828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02237217622842112,"score_gpt":0.3074675664483223,"score_spread":0.2850953902199012,"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."}}