{"id":"W2142201329","doi":"10.1109/memb.2007.335579","title":"Machine learning in the life sciences","year":2007,"lang":"en","type":"review","venue":"IEEE Engineering in Medicine and Biology Magazine","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Engineering; Artificial intelligence; Engineering ethics","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":[],"consensus_categories":[],"category_scores_codex":[0.00262937,0.0003190837,0.0007500748,0.0004910377,0.00004978094,0.00001044421,0.0004738929,0.000475848,0.00001104225],"category_scores_gemma":[0.001211233,0.0001767408,0.00007813773,0.000512723,0.0005379246,0.000002733115,0.0001098721,0.0007662661,0.00001057932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001294272,"about_ca_system_score_gemma":0.000126391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003125129,"about_ca_topic_score_gemma":0.0000488235,"domain_scores_codex":[0.9981778,0.0001385948,0.0006353939,0.0003643887,0.0001740878,0.0005097333],"domain_scores_gemma":[0.9992781,0.0002763411,0.000101774,0.0002043565,0.00002612459,0.0001133273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002267165,0.00007394031,0.0008295038,0.005899188,0.00009971045,0.00004293349,0.0002019546,0.00009377654,0.0005445184,0.0001133396,0.00391298,0.9881655],"study_design_scores_gemma":[0.0004149841,0.0007615499,0.0001001738,0.001194756,0.00003576904,0.00005712445,0.00003545677,0.0005325294,0.000004760298,0.000008454349,0.9966455,0.0002089848],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000403977,0.9976755,0.0003193072,0.0002554182,0.0002601548,0.0003107473,0.000005917613,0.00001025382,0.0007587199],"genre_scores_gemma":[0.001017871,0.9974511,0.0002175315,0.0002976228,0.0006695163,0.00002547919,0.0001648294,0.00001711198,0.0001389329],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9927325,"threshold_uncertainty_score":0.7207282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07224022114110802,"score_gpt":0.3697398333412372,"score_spread":0.2974996122001292,"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."}}