{"id":"W6885811453","doi":"10.1371/journal.pone.0253052.s006","title":"Pairwise differences in the nutrient-rich food index 9.3 for Canadian children and adults stratified by whole grain food intake.","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pairwise comparison; Index (typography); Log-linear model; Food energy; Linear regression; Regression analysis; Regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001143618,0.0007738604,0.0008096332,0.002150567,0.0009859153,0.0008241475,0.001672382,0.0003588543,0.02254536],"category_scores_gemma":[0.003213597,0.0003266512,0.00145891,0.004980145,0.0003782991,0.0005700556,0.001000688,0.001406446,0.001502566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004351618,"about_ca_system_score_gemma":0.01115734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9598331,"about_ca_topic_score_gemma":0.9680223,"domain_scores_codex":[0.9989561,0.0000724343,0.00005621373,0.0001784708,0.0004014616,0.0003354024],"domain_scores_gemma":[0.9986584,0.0001539098,0.000253401,0.0000833145,0.0006207671,0.0002301732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002518672,0.0001401069,0.4841608,0.001717966,0.002096547,0.0003163182,0.0009955543,0.001037807,0.001376831,0.003788849,0.440261,0.06158959],"study_design_scores_gemma":[0.0000710046,0.00007735974,0.9668541,0.000113196,0.0002432447,0.0001211963,0.0009623358,0.000525828,0.0002448331,0.0003348581,0.03039523,0.0000568312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1704338,0.00324912,0.002093561,0.0009707219,0.0007339556,0.0002735231,0.7922626,0.000657568,0.02932514],"genre_scores_gemma":[0.6340649,0.002879753,0.007873574,0.0005356433,0.0001313488,0.0005448979,0.3265333,0.0003763793,0.02706024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04016691,"threshold_uncertainty_score":0.08080685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713732880883358,"score_gpt":0.2339639233619618,"score_spread":0.2068265945531282,"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."}}