{"id":"W4220825888","doi":"10.3410/f.739516664.793591912","title":"Faculty Opinions recommendation of MicroRNA-21-Dependent Macrophage-to-Fibroblast Signaling Determines the Cardiac Response to Pressure Overload.","year":2022,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Cardiac Fibrosis and Remodeling","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pressure overload; microRNA; Macrophage; Fibroblast; Information overload; Cell biology; Chemistry; Biology; Medicine; Internal medicine; Computer science; Biochemistry; Genetics; Heart failure; Gene; World Wide Web; Cell culture; Cardiac hypertrophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003654684,0.0007113365,0.001614621,0.0005622092,0.0005266303,0.000191511,0.00157675,0.0005992875,0.001647484],"category_scores_gemma":[0.007573051,0.000416653,0.001515117,0.002489253,0.0002041821,0.0001795805,0.001393561,0.001575427,0.00004246059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287433,"about_ca_system_score_gemma":0.0007595064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009667781,"about_ca_topic_score_gemma":0.000002602349,"domain_scores_codex":[0.9927093,0.001319158,0.001998448,0.00100029,0.002437062,0.0005357444],"domain_scores_gemma":[0.9908606,0.0004257901,0.001240043,0.002358326,0.004535598,0.0005796319],"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":[0.0003715605,0.0002497377,0.000007183249,0.005939859,0.0004260163,7.769031e-7,0.0003524616,0.00001301888,0.0008897934,0.00001143503,0.990441,0.001297186],"study_design_scores_gemma":[0.0006908491,0.000368835,0.001941164,0.01277817,0.0007668379,0.00007634438,0.0001011303,0.00001108437,0.0002560884,0.000002578849,0.9826027,0.0004042193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002273253,0.002250398,0.00003269204,0.1924827,0.001677145,0.003117601,0.8003636,0.00003888084,0.00001425419],"genre_scores_gemma":[0.00007127989,0.0002240072,0.0007124259,0.007391888,0.0005752622,0.0005105663,0.9874163,0.00006387505,0.003034375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1870527,"threshold_uncertainty_score":0.9998285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400987516205063,"score_gpt":0.3393337645509694,"score_spread":0.3153238893889188,"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."}}