{"id":"W2897224865","doi":"10.7717/peerj.5759","title":"Sequence variant analysis of RNA sequences in severe equine asthma","year":2018,"lang":"en","type":"article","venue":"PeerJ","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sanger sequencing; Ensembl; Biology; Genetics; Sequence analysis; Missense mutation; Reference genome; Computational biology; Bioinformatics; Gene; DNA sequencing; Genome; Genomics; Mutation","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001971419,0.000102204,0.0003763639,0.0003173688,0.00003039056,0.000006696386,0.0001018921,0.00005871385,0.001005812],"category_scores_gemma":[0.0001441951,0.00007734953,0.0001335468,0.001055033,0.0002129322,0.00006705601,0.00003457351,0.00007491811,0.00003877078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004170887,"about_ca_system_score_gemma":0.0001692717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002504752,"about_ca_topic_score_gemma":0.0002205651,"domain_scores_codex":[0.9989957,0.00004166837,0.0002674397,0.0002201725,0.0002839365,0.000191132],"domain_scores_gemma":[0.9993187,0.00004030908,0.00008819476,0.000273381,0.0001612129,0.0001181575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008247764,0.0008798962,0.7307598,0.0003664958,0.001638234,0.001779509,0.002452587,0.0006967456,0.1912576,0.001799276,0.002914758,0.06463031],"study_design_scores_gemma":[0.001695909,0.001642333,0.9606797,0.000279238,0.001318867,0.00008476742,0.0006980093,0.00944699,0.0116614,0.0003267466,0.01179049,0.0003755846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933785,0.0003137601,0.000179198,0.0004659737,0.00008759221,0.0001043911,0.00004180532,0.00002687884,0.00540196],"genre_scores_gemma":[0.9981326,0.0000142091,0.0004329354,0.000377665,0.0001308028,0.000005364039,0.00002261432,0.000007557995,0.000876181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2299199,"threshold_uncertainty_score":0.9999074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02891433695113732,"score_gpt":0.3197476426644164,"score_spread":0.2908333057132791,"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."}}