{"id":"W3112413343","doi":"10.15252/embr.202051845","title":"A short guide to genetic data mining","year":2020,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Timeline; Library science; Social media; Coronavirus disease 2019 (COVID-19); Sociology; History; Computer science; World Wide Web; Medicine; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003746753,0.0001558306,0.0001752417,0.00003685056,0.00006355135,0.00005359072,0.000524105,0.0001284309,0.00005717656],"category_scores_gemma":[0.00125962,0.0001408577,0.0000556911,0.0001451094,0.00007141551,0.000004268828,0.001113651,0.00008748201,0.00005513889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000905797,"about_ca_system_score_gemma":0.0001815139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001371222,"about_ca_topic_score_gemma":0.0000197557,"domain_scores_codex":[0.9980275,0.00002593582,0.0005370427,0.0005724932,0.000446106,0.0003909402],"domain_scores_gemma":[0.9981412,0.000009525162,0.00006519673,0.001097196,0.0001092424,0.0005776779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005585362,0.00006384464,0.01580901,0.00009990438,0.0001104692,0.0005631907,0.0003365986,0.00005749695,0.1752886,0.000001610667,0.6740232,0.1335902],"study_design_scores_gemma":[0.0001298907,0.000389037,0.008519121,0.00001651711,0.00001997918,0.0001859257,0.0001860503,0.0008404615,0.03206465,0.000008553762,0.9573461,0.0002936542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597776,0.0006922157,0.01869547,0.004012947,0.000520049,0.0006210849,0.00006564146,0.00005358326,0.01556142],"genre_scores_gemma":[0.9617323,0.0001605867,0.0315038,0.00360662,0.0009641986,0.00001600595,0.0005653822,0.00003168947,0.001419401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.283323,"threshold_uncertainty_score":0.5744011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0487512737103501,"score_gpt":0.3377262154214595,"score_spread":0.2889749417111094,"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."}}