{"id":"W2035715268","doi":"10.1038/nbt0805-925","title":"The Babel of genetic data terminology","year":2005,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Terminology; Computational biology; Genetic data; Genetics; Biology; Evolutionary biology; Linguistics; Philosophy; Medicine","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01827595,0.0006261822,0.001476038,0.002328328,0.005007837,0.00892568,0.002306314,0.0274724,0.006452387],"category_scores_gemma":[0.09761129,0.0009853701,0.001173044,0.001769814,0.01570455,0.01771231,0.005255166,0.04634926,0.004733468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005645677,"about_ca_system_score_gemma":0.004802965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006807119,"about_ca_topic_score_gemma":0.008964897,"domain_scores_codex":[0.9840599,0.008084534,0.001536655,0.001564249,0.003960081,0.0007945327],"domain_scores_gemma":[0.8532124,0.1229603,0.00362893,0.005167789,0.01159553,0.003434986],"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":[0.00007764306,0.00001062765,0.000280706,0.0000674711,0.00002299901,0.0006535932,0.0005543422,0.0001156722,0.0001593061,0.1083307,0.8689925,0.02073454],"study_design_scores_gemma":[0.00007716856,0.00002347247,0.0003353419,0.0004232206,0.00002838058,0.001592594,0.0006796072,0.001259694,0.0004511871,0.1769803,0.8180786,0.00007019399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000304153,0.002146901,0.003813102,0.980951,0.008544451,0.00000824903,0.00006955279,0.00006449462,0.004098034],"genre_scores_gemma":[0.01228055,0.002543598,0.006716884,0.9376727,0.0313523,0.00009543791,0.0001053534,0.0001620344,0.009071197],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9910743,"threshold_uncertainty_score":0.09665358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595483586082369,"score_gpt":0.2824158703567221,"score_spread":0.2664610344958984,"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."}}