{"id":"W3085340533","doi":"10.1016/j.cjca.2020.09.007","title":"Going the Long Noncoding RNA Way Toward Cardiac Regeneration: Mapping Candidate Long Noncoding RNA Controllers of Regeneration","year":2020,"lang":"en","type":"letter","venue":"Canadian Journal of Cardiology","topic":"Congenital heart defects research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Regeneration (biology); Zebrafish; Long non-coding RNA; Medicine; Context (archaeology); RNA; Non-coding RNA; Bioinformatics; Neuroscience; Genetics; Biology; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002267685,0.0005263897,0.001052755,0.0004035106,0.002081891,0.00194073,0.0008929303,0.02395897,0.003592012],"category_scores_gemma":[0.009585883,0.0003739574,0.0008334558,0.0002527534,0.001704568,0.001385797,0.0006366243,0.01954998,0.002942399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002689462,"about_ca_system_score_gemma":0.002361606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004078351,"about_ca_topic_score_gemma":0.008355151,"domain_scores_codex":[0.9988683,0.0002797465,0.0001244051,0.000148209,0.0003879413,0.0001913277],"domain_scores_gemma":[0.9935403,0.004349133,0.0002038954,0.000161563,0.0008197027,0.0009253608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003575528,0.0001162656,0.001477127,0.00007073231,0.00003613232,0.003662765,0.0001612831,0.0001687863,0.002463295,0.00379149,0.9599151,0.0277795],"study_design_scores_gemma":[0.0005017186,0.0003533834,0.004525976,0.0001852887,0.00009390996,0.003708253,0.0007115835,0.001797548,0.002697739,0.02530331,0.9599974,0.0001238753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001626405,0.001483721,0.0003657695,0.9676045,0.02616915,0.0000172121,0.00008955519,0.00004941153,0.002594394],"genre_scores_gemma":[0.01640214,0.001894713,0.0009575434,0.9180854,0.04892583,0.00006753776,0.00006698547,0.0000411039,0.01355866],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02395897,"threshold_uncertainty_score":0.01951355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569791298666299,"score_gpt":0.2521867917900592,"score_spread":0.2264888788033962,"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."}}