{"id":"W2043296128","doi":"10.1038/510047a","title":"Lipids in health and disease","year":2014,"lang":"en","type":"article","venue":"Nature","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Disease; Computational biology; Chemistry; Medicine; Biology; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001749843,0.00005183358,0.00008793881,0.00002975185,0.00005894275,0.0000044143,0.00003021452,0.0003140631,0.00002599883],"category_scores_gemma":[0.0001270162,0.00004234831,0.00001213528,0.0000502098,0.00001800074,0.00002470458,0.0000157896,0.0008773097,0.00007305104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002488723,"about_ca_system_score_gemma":0.00004688039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001729211,"about_ca_topic_score_gemma":0.0001117141,"domain_scores_codex":[0.9994672,0.0001219132,0.00008468257,0.0001351505,0.00005458384,0.0001364883],"domain_scores_gemma":[0.9995959,0.00004577619,0.00002511455,0.0001142295,0.00000665275,0.0002123422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001166127,0.000122993,0.946537,0.000260018,0.000003798991,0.0001308612,0.0001626072,0.000001201731,0.000001785681,0.01922551,0.01172638,0.02171125],"study_design_scores_gemma":[0.0007177814,0.00007848004,0.9398991,0.00004367062,0.000002471258,0.00001365051,0.00001513152,0.00005079321,0.000003183691,0.004676727,0.05444703,0.0000519586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827566,0.00734924,0.00001202001,0.008073605,0.0005832653,0.0001353987,0.00001480491,0.00003537521,0.001039675],"genre_scores_gemma":[0.9914405,0.00004493077,0.0001603898,0.007378049,0.00009150048,0.00000606371,0.00001393894,0.000004483646,0.0008601266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04272065,"threshold_uncertainty_score":0.3811523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012177053703008,"score_gpt":0.3389133013745217,"score_spread":0.3287915308374916,"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."}}