{"id":"W4312138116","doi":"10.3389/fnmol.2022.1054573","title":"Modeling neuromuscular diseases in zebrafish","year":2022,"lang":"en","type":"review","venue":"Frontiers in Molecular Neuroscience","topic":"Neurogenetic and Muscular Disorders Research","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Zebrafish; Mechanism (biology); Exome sequencing; Biology; Drug development; Exome; Genetic heterogeneity; Bioinformatics; Neuroscience; Computational biology; Medicine; Genetics; Mutation; Phenotype; Drug; Gene; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003904181,0.0007799289,0.0006573363,0.001066455,0.0002814794,0.0007405505,0.0008113029,0.001022116,0.002600931],"category_scores_gemma":[0.0002857993,0.0002296091,0.0006151221,0.0003618485,0.0004022811,0.0007908787,0.0006266509,0.001144196,0.001167332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006531747,"about_ca_system_score_gemma":0.0007286741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002452749,"about_ca_topic_score_gemma":0.003771015,"domain_scores_codex":[0.9998699,0.00001871532,0.00001244887,0.00002505935,0.00005999313,0.0000139098],"domain_scores_gemma":[0.9999418,0.00001503892,0.00001216491,0.000004167373,0.00001732664,0.000009495318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000213475,0.0001671733,0.0008597542,0.01170948,0.0002050241,0.001907809,0.0003049332,0.006633037,0.6173232,0.03274047,0.02071797,0.3072177],"study_design_scores_gemma":[0.0001089288,0.0008231754,0.002768752,0.002567346,0.0004813001,0.004354411,0.0001662627,0.003944702,0.1139898,0.008066081,0.8626168,0.0001125878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04184713,0.8113426,0.08572221,0.003278589,0.001701583,0.0005571738,0.003065748,0.001440937,0.05104405],"genre_scores_gemma":[0.1248725,0.7979425,0.04949143,0.001381887,0.0002360395,0.0006570712,0.002560576,0.0001876002,0.02267044],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002600931,"threshold_uncertainty_score":0.008701026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04718862666018932,"score_gpt":0.3394896903683339,"score_spread":0.2923010637081446,"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."}}