{"id":"W4232127756","doi":"10.1503/cmaj.1070064","title":"Treating hypertriglyceridemia","year":2007,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypertriglyceridemia; Triglyceride; Fish <Actinopterygii>; Computer science; Medicine; Endocrinology; Cholesterol; Biology; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001577233,0.0005221153,0.0008587366,0.00081928,0.00270859,0.001295879,0.0012177,0.01994692,0.004551652],"category_scores_gemma":[0.01499784,0.0003155771,0.0007850388,0.0008186509,0.001504418,0.00200459,0.001008866,0.01876234,0.00353678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002784451,"about_ca_system_score_gemma":0.002417153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003457612,"about_ca_topic_score_gemma":0.006977995,"domain_scores_codex":[0.9979668,0.0007685202,0.0001926936,0.0001894921,0.0006356903,0.0002467557],"domain_scores_gemma":[0.9972214,0.001153132,0.0003019753,0.0000826481,0.0005458303,0.0006950286],"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":[0.00008556186,0.0001363135,0.002099381,0.000284886,0.00003261308,0.01575808,0.0003318042,0.0001215842,0.0005632454,0.001842996,0.9393148,0.03942872],"study_design_scores_gemma":[0.0003297298,0.0004992358,0.005621379,0.002934071,0.00007208039,0.07921235,0.001218279,0.0008147625,0.0008078817,0.0108058,0.8975703,0.000114087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001351177,0.00835029,0.0002372181,0.9622619,0.01981294,0.00002208927,0.00001822457,0.00003293525,0.007913296],"genre_scores_gemma":[0.01538501,0.007359564,0.0007086336,0.9305448,0.03911602,0.00005444247,0.00002567674,0.00002048075,0.006785389],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01994692,"threshold_uncertainty_score":0.02020264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826952681024782,"score_gpt":0.2990460531094929,"score_spread":0.2807765262992451,"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."}}