{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001940985,0.001063015,0.001397565,0.00312117,0.0005281788,0.001865296,0.001040608,0.002306669,0.002782963],"category_scores_gemma":[0.002818628,0.0004130701,0.000445834,0.003560292,0.00197103,0.00366813,0.0010356,0.004563104,0.003565727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568717,"about_ca_system_score_gemma":0.001481528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001172494,"about_ca_topic_score_gemma":0.001999281,"domain_scores_codex":[0.9992121,0.0002042636,0.00005518209,0.00008164933,0.0004073778,0.00003941471],"domain_scores_gemma":[0.9980617,0.00126059,0.00009476422,0.00007379907,0.0004143347,0.00009492576],"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":[0.00003238985,0.0000738977,0.0001751543,0.004313624,0.00009095729,0.0001575171,0.00009314457,0.0006817193,0.0005664293,0.02710856,0.1755774,0.7911293],"study_design_scores_gemma":[0.00001143301,0.00003399799,0.0003522885,0.001759764,0.00002159056,0.0005501814,0.00003500365,0.0002662522,0.0001940012,0.01833342,0.978425,0.00001718145],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005825927,0.9922152,0.0009998345,0.002580396,0.001733377,0.000006085361,0.000007986654,0.0000196674,0.00237927],"genre_scores_gemma":[0.001052021,0.9905589,0.001016595,0.001600106,0.003196227,0.00001298921,0.00001810922,0.000006885748,0.002538239],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00312117,"threshold_uncertainty_score":0.01138192,"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."}}