{"id":"W2808956335","doi":"10.1093/ajcn/nqy089","title":"Best practices for the design, laboratory analysis, and reporting of trials involving fatty acids","year":2018,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"Fatty Acid Research and Health","field":"Nursing","cited_by":178,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Waterloo; Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Fatty acid; Checklist; Polyunsaturated fatty acid; Clinical study design; Medicine; Computer science; Biotechnology; Biology; Clinical trial; Biochemistry; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04355351,0.0000941145,0.001291742,0.0002154629,0.0002237441,0.00005874881,0.0001728702,0.00006962573,0.00001228472],"category_scores_gemma":[0.1296562,0.0000590573,0.0004113188,0.0007504006,0.0008836553,0.0002979859,0.00002212319,0.0004259133,7.708335e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002699217,"about_ca_system_score_gemma":0.0002056893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002017683,"about_ca_topic_score_gemma":0.00007847963,"domain_scores_codex":[0.9923897,0.002592611,0.004220551,0.0001696686,0.0004011149,0.0002262963],"domain_scores_gemma":[0.948624,0.02478229,0.02421934,0.000234637,0.001902997,0.0002367609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.03034947,0.001938085,0.2462878,0.0004747065,0.002694605,0.00002167239,0.0008963921,0.00001980892,0.04960898,0.0000580082,0.005273904,0.6623765],"study_design_scores_gemma":[0.02598426,0.1216872,0.4983363,0.003989982,0.01625657,0.0002412966,0.0294033,0.01332976,0.2350995,0.006751085,0.04779353,0.001127316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8476878,0.003189257,0.1294201,0.01818935,0.0006998012,0.0007569037,0.00002657069,0.00001076949,0.00001935455],"genre_scores_gemma":[0.9170464,0.002573309,0.07811126,0.0005038959,0.001741857,0.000008456102,0.00000202515,0.00001079092,0.000001984233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6612492,"threshold_uncertainty_score":0.9848629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3760940250254827,"score_gpt":0.5550542142228624,"score_spread":0.1789601891973797,"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."}}