{"id":"W2997444844","doi":"10.20944/preprints201912.0385.v1","title":"Genome Editing for the Understanding and Treatment of Cardiomyopathies","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Muscular Dystrophy Canada; University of Alberta","funders":"","keywords":"Transcription activator-like effector nuclease; Genome editing; Zinc finger nuclease; CRISPR; Cardiomyopathy; Duchenne muscular dystrophy; Genome; Biology; Computational biology; Muscle disease; Genome engineering; Genetics; Medicine; Disease; Heart failure; Internal medicine; Gene","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":[0.0008341502,0.0005439504,0.0007476752,0.0006945834,0.0003086645,0.001365563,0.0004795758,0.001285211,0.005609605],"category_scores_gemma":[0.0008086918,0.0002127349,0.0005487911,0.0004276394,0.0008588405,0.0007075631,0.0009019859,0.002291687,0.001743896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005119187,"about_ca_system_score_gemma":0.0004808116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002870089,"about_ca_topic_score_gemma":0.0002268999,"domain_scores_codex":[0.999463,0.0001372496,0.00002786249,0.0001107659,0.0002152442,0.00004580253],"domain_scores_gemma":[0.9997494,0.0001173646,0.00003442569,0.00004074735,0.00002706436,0.00003102923],"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":[0.0003473088,0.0001571851,0.000649609,0.003994994,0.0002252188,0.001469153,0.0003773566,0.003633015,0.3970928,0.1161121,0.04255658,0.4333847],"study_design_scores_gemma":[0.0001007875,0.0002828758,0.001284225,0.0005466588,0.0001556095,0.003882129,0.00008364501,0.003001553,0.1341949,0.04981366,0.8065857,0.00006817446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04008232,0.4746489,0.3621791,0.0188121,0.006118876,0.0003276848,0.003222504,0.005859613,0.08874898],"genre_scores_gemma":[0.3672718,0.4221193,0.1564533,0.006110192,0.003004755,0.0004469496,0.004032729,0.00155918,0.03900181],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005609605,"threshold_uncertainty_score":0.01876599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101057410567339,"score_gpt":0.3542359872427503,"score_spread":0.2531785766754113,"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."}}