{"id":"W2978957730","doi":"10.1101/792929","title":"Transgene-mediated skeletal phenotypic variation in zebrafish","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research; National Institutes of Health","keywords":"Biology; Zebrafish; Transgene; Transposable element; Transgenesis; Genetics; Phenotype; Danio; Genome; Transcription activator-like effector nuclease; Genome editing; Model organism; Gene; Computational biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001668143,0.0003836171,0.0001813821,0.0006249225,0.0002348313,0.0002105022,0.000359643,0.0004745552,0.002332498],"category_scores_gemma":[0.00015794,0.0002385624,0.0003921571,0.0001916075,0.0004253523,0.0001428418,0.0003631526,0.0007212122,0.0004620439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006572311,"about_ca_system_score_gemma":0.000295943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004051672,"about_ca_topic_score_gemma":0.007042723,"domain_scores_codex":[0.9997968,0.00001769093,0.00002295792,0.00005432592,0.00007243363,0.00003574325],"domain_scores_gemma":[0.9998052,0.00003830194,0.00007815861,0.00002041839,0.00002458798,0.00003343304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001413966,0.000004587801,0.0001169783,0.000008705338,0.000001970286,0.00007966225,0.00000995978,0.00003696853,0.9993831,0.00005128604,0.00001480137,0.0002777335],"study_design_scores_gemma":[0.00002789607,0.000477104,0.02582852,0.00001677411,0.00004115666,0.0008864069,0.0001106481,0.001077555,0.9682223,0.0001280588,0.003157493,0.0000260866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916597,0.000398851,0.003333344,0.0001254135,0.00003017459,0.00004661314,0.001544439,0.0001894594,0.002672019],"genre_scores_gemma":[0.9869713,0.0003799432,0.002945387,0.00008705115,0.000005725454,0.00008150953,0.0009785179,0.0001114698,0.008439082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004051672,"threshold_uncertainty_score":0.008056223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006305307096324711,"score_gpt":0.2275414077714352,"score_spread":0.2212361006751105,"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."}}