{"id":"W3144185459","doi":"10.1111/bph.15473","title":"Zebrafish as a tractable model of human cardiovascular disease","year":2021,"lang":"en","type":"review","venue":"British Journal of Pharmacology","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Directorate for Biological Sciences; National Centre for the Replacement Refinement and Reduction of Animals in Research; National Centre for the Replacement, Refinement and Reduction of Animals in Research; Medical Research Council Canada; British Heart Foundation","keywords":"Zebrafish; Disease; Human disease; Computer science; Computational biology; Biology; Bioinformatics; Medicine; Internal medicine; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009596336,0.0002648825,0.001659709,0.0001642338,0.00009584412,0.00003978165,0.0008556418,0.0003856039,0.0002832153],"category_scores_gemma":[0.0004610662,0.0002968436,0.002026188,0.0002623277,0.000306642,0.000009475316,0.0002989197,0.0007439376,0.000007193898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006265832,"about_ca_system_score_gemma":0.002496475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002599856,"about_ca_topic_score_gemma":0.000003354519,"domain_scores_codex":[0.9969614,0.0005240458,0.001073564,0.0004312328,0.0005934216,0.0004163986],"domain_scores_gemma":[0.9978333,0.00005817713,0.0006466755,0.0003036938,0.0006189349,0.0005392616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003672506,0.0008515806,6.29495e-7,0.004709588,0.006073318,0.001494215,0.000005305884,0.0001256797,0.02287414,0.00004682753,0.1004208,0.8633612],"study_design_scores_gemma":[0.0007899915,0.00018927,0.000001127925,0.001981443,0.002693797,0.001820618,0.000005099616,0.00001914554,0.001790237,0.00007606897,0.9903805,0.0002526791],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008222213,0.9974302,0.0005330648,0.00005532189,0.0001705225,0.000432312,0.0002927529,0.000004186241,0.0002594418],"genre_scores_gemma":[0.001442685,0.9965032,0.0002592667,0.0001271379,0.0008375276,0.00008859139,0.0002646479,0.00006566336,0.0004112749],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8899598,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349655493597914,"score_gpt":0.3805037729064353,"score_spread":0.3370072179704562,"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."}}