{"id":"W2010063698","doi":"10.1038/436181a","title":"Tiny brakes for a growing heart","year":2005,"lang":"en","type":"letter","venue":"Nature","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Hospital for Sick Children; SickKids Foundation","funders":"","keywords":"microRNA; Regulator; Biology; Transcription factor; Cell biology; Translation (biology); Heart development; Computational biology; Bioinformatics; Messenger RNA; Genetics; Gene; Embryonic stem cell","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002978351,0.0008777752,0.00135587,0.0005536911,0.00276971,0.003348245,0.001327185,0.02244505,0.006623144],"category_scores_gemma":[0.009601359,0.0004883806,0.0006918305,0.0003125422,0.005153459,0.00441676,0.002106875,0.03169085,0.004194951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101468,"about_ca_system_score_gemma":0.001196806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006530962,"about_ca_topic_score_gemma":0.001744267,"domain_scores_codex":[0.9986355,0.0003664066,0.00009906351,0.0002098063,0.0005441904,0.000145055],"domain_scores_gemma":[0.9960499,0.002331271,0.0001863793,0.0002118558,0.0003384875,0.0008819459],"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":[0.0001393949,0.00002917862,0.0001693418,0.00007760416,0.00002044797,0.0008755141,0.00009488459,0.00006127162,0.0005387203,0.01263032,0.9678752,0.01748825],"study_design_scores_gemma":[0.0001495788,0.00008115682,0.0005420081,0.0001054025,0.00002577741,0.001245358,0.000243995,0.0003458468,0.000621456,0.03631572,0.9602731,0.00005061161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006037293,0.01190207,0.0007708719,0.9277614,0.054696,0.000009832863,0.00003751634,0.0001085292,0.004110021],"genre_scores_gemma":[0.01552751,0.007100189,0.001295995,0.873981,0.08368383,0.00006049871,0.00003441239,0.00007138545,0.01824526],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02244505,"threshold_uncertainty_score":0.02215666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005984819057350392,"score_gpt":0.2573486495309446,"score_spread":0.2513638304735942,"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."}}