{"id":"W4230899979","doi":"10.1016/b978-0-08-100596-5.00100-1","title":"Healthy Fats and Oils","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Refining (metallurgy); Food science; Composition (language); Chemistry; Art","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006653156,0.000405998,0.000642657,0.000235445,0.0002438066,0.00007695339,0.0002346152,0.0004731034,0.000189549],"category_scores_gemma":[0.00005930145,0.0003720964,0.0001142052,0.00001160367,0.0002734669,0.00005024999,0.0001466298,0.00111513,0.0005618303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003189136,"about_ca_system_score_gemma":0.0003249324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000672817,"about_ca_topic_score_gemma":0.0001620544,"domain_scores_codex":[0.99756,0.00007302473,0.0004476083,0.0005633124,0.0006504054,0.0007056647],"domain_scores_gemma":[0.9980859,0.0000981152,0.0001848127,0.0005563446,0.0001862154,0.0008885728],"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":[0.000276804,0.00000765844,0.000005605022,0.0004849997,0.000026244,0.00003965925,0.0002995896,4.29622e-8,0.00007720222,0.002592013,0.007166235,0.9890239],"study_design_scores_gemma":[0.0006745184,0.0006386249,0.00001748588,0.0004568885,0.00003370155,0.00004438535,0.00001085742,0.000004042939,0.0001684763,0.02313096,0.9744638,0.0003562978],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005712391,0.01154233,0.000003750299,0.002388236,0.0008252477,0.0007644705,0.00006027189,0.0001096424,0.9842489],"genre_scores_gemma":[0.0003675924,0.0005393261,0.001548269,0.002956278,0.001063077,0.00002780203,0.00004571451,0.0001617603,0.9932902],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9886677,"threshold_uncertainty_score":0.9998731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05943556553172194,"score_gpt":0.3334992884527208,"score_spread":0.2740637229209989,"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."}}