{"id":"W4295745410","doi":"10.1016/j.immuni.2022.08.012","title":"Skip the buffet, for SPARC’s sake","year":2022,"lang":"en","type":"letter","venue":"Immunity","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"McGill University","keywords":"Biology; Computational biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005536766,0.001520335,0.002139961,0.0009599417,0.01035363,0.007457462,0.002538036,0.09907556,0.01013638],"category_scores_gemma":[0.02387288,0.001240253,0.001649316,0.0007094415,0.004738186,0.007127338,0.003129476,0.0871802,0.009153642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00490347,"about_ca_system_score_gemma":0.006370937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01650732,"about_ca_topic_score_gemma":0.04060834,"domain_scores_codex":[0.9956765,0.001269481,0.0005268177,0.000771086,0.001097053,0.0006591611],"domain_scores_gemma":[0.9914047,0.004325768,0.0003871513,0.0003447042,0.001347938,0.002189821],"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":[0.00005668417,0.00005165525,0.0004906224,0.00004234373,0.00002372017,0.001464255,0.0002163848,0.00003523647,0.0001463027,0.003828817,0.9888527,0.004791177],"study_design_scores_gemma":[0.0001231894,0.00006936551,0.00131857,0.0004270859,0.00003558318,0.001299789,0.0008359394,0.0003010895,0.0001214511,0.01373511,0.9816442,0.00008861415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002783332,0.001723863,0.0001119592,0.9671988,0.02613098,0.00002047086,0.00003805465,0.00002311997,0.004474333],"genre_scores_gemma":[0.001065867,0.0004066497,0.0001444299,0.9630008,0.02157449,0.0000298653,0.000009924023,0.00001952157,0.01374851],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09907556,"threshold_uncertainty_score":0.0355773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899077104313194,"score_gpt":0.3042408264965075,"score_spread":0.2552500554533755,"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."}}