{"id":"W2765307954","doi":"10.21037/ncri.2017.10.01","title":"Mir-33: miR-acles in cardiac fibrosis?","year":2017,"lang":"en","type":"article","venue":"Non-coding RNA Investigation","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Heart and Stroke Foundation of Canada","keywords":"Cardiac fibrosis; Medicine; Cardiology; Internal medicine; Fibrosis","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":[0.0007976468,0.0009488089,0.0008729679,0.0006632721,0.001009047,0.002624437,0.0007056072,0.002226787,0.008044188],"category_scores_gemma":[0.001330599,0.0004271087,0.0005775553,0.0006577176,0.001274273,0.00104913,0.001054815,0.003152179,0.005672231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005832746,"about_ca_system_score_gemma":0.0008407059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005378159,"about_ca_topic_score_gemma":0.0008333161,"domain_scores_codex":[0.9994621,0.0001070054,0.0000476519,0.0001179963,0.0001512331,0.0001140958],"domain_scores_gemma":[0.9996266,0.00006618403,0.00008260587,0.0000266466,0.00007940774,0.0001186039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002832923,0.0003635742,0.0141383,0.006491033,0.0003728444,0.004872992,0.001129871,0.001129449,0.156993,0.04798843,0.1968538,0.5668339],"study_design_scores_gemma":[0.0002072264,0.0008055457,0.01557376,0.001874247,0.0003691546,0.007050518,0.0007480335,0.001816548,0.04563375,0.01556625,0.9102166,0.0001383215],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04882565,0.8190563,0.01380492,0.04383954,0.01265054,0.0002246504,0.004326671,0.00218002,0.05509173],"genre_scores_gemma":[0.5262618,0.3803176,0.01263999,0.02800184,0.007850794,0.0005450856,0.003790948,0.0006126143,0.03997929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008044188,"threshold_uncertainty_score":0.02691048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03311277144930094,"score_gpt":0.2872388988219525,"score_spread":0.2541261273726516,"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."}}