{"id":"W1599433128","doi":"10.3389/fgene.2015.00258","title":"Broadening the definition of a bioinformatician","year":2015,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK","keywords":"Computer science; Biology; Computational biology; Evolutionary biology","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":[0.0001751002,0.00008039678,0.0001041854,0.00003856569,0.00002741547,0.000007611032,0.0001652815,0.0000623583,5.51662e-7],"category_scores_gemma":[0.00004921857,0.00006400513,0.00003799998,0.00008726659,0.00009495027,4.228936e-7,0.00008925695,0.0000436698,0.000001343748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000961265,"about_ca_system_score_gemma":0.00005546114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008710181,"about_ca_topic_score_gemma":0.00001632039,"domain_scores_codex":[0.999436,0.00002970713,0.0002028928,0.00009781874,0.00009323856,0.0001403594],"domain_scores_gemma":[0.9996116,0.000004650275,0.00007421023,0.0002155028,0.00005877565,0.00003529138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002708158,0.0001333788,0.7985675,0.00008241418,0.0003023573,0.000003546665,0.005620855,0.006068067,0.08799516,0.0009525986,0.05780224,0.04220103],"study_design_scores_gemma":[0.00775449,0.003124162,0.307249,0.0001377361,0.000252192,0.00007124947,0.02733247,0.01025622,0.3112037,0.04530779,0.2854279,0.001883086],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794148,0.008015283,0.006528915,0.0001035787,0.0005287743,0.0001515928,0.00001187093,0.00000147573,0.005243675],"genre_scores_gemma":[0.9562932,0.000611492,0.04283665,0.0001178569,0.00007797417,0.000009765736,0.000009789646,0.00000899682,0.00003432578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4913185,"threshold_uncertainty_score":0.2610053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02354265030973991,"score_gpt":0.2271357480142653,"score_spread":0.2035930977045254,"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."}}