{"id":"W4387563960","doi":"10.3148/cjdpr-2023-013","title":"Development and Evaluation of the Dietary Pattern Calculator (DiPaC) for Personalized Assessment and Feedback","year":2023,"lang":"en","type":"review","venue":"Canadian Journal of Dietetic Practice and Research","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Bruyère; Government of Canada; Canadian Obesity Network; Institute for Clinical Evaluative Sciences; Statistics Canada; University of Toronto; Ottawa Hospital; University of British Columbia","funders":"","keywords":"Calculator; Orange (colour); Environmental health; Medicine; Computer science; Food science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1234524,0.001071895,0.001528057,0.005852069,0.0009310769,0.003374096,0.002954113,0.00113615,0.00449284],"category_scores_gemma":[0.2341694,0.0009615976,0.002588666,0.003914331,0.000791044,0.002112388,0.00423629,0.001833157,0.002060273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003036227,"about_ca_system_score_gemma":0.02053786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006692433,"about_ca_topic_score_gemma":0.01139715,"domain_scores_codex":[0.9201702,0.04298854,0.01176959,0.003278009,0.02094355,0.0008499974],"domain_scores_gemma":[0.7839037,0.1081086,0.0104999,0.01321431,0.08084388,0.003429634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008818063,0.001011761,0.02780096,0.009715784,0.0006776524,0.0001622541,0.002871047,0.001917701,0.001444515,0.001732606,0.02030183,0.9314821],"study_design_scores_gemma":[0.006894564,0.01327127,0.2786263,0.05443255,0.007802948,0.002731607,0.007095243,0.03628917,0.02532068,0.01306906,0.5532959,0.00117078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2060342,0.0210801,0.5003533,0.0113159,0.003817698,0.1745802,0.02400065,0.0145729,0.04424517],"genre_scores_gemma":[0.1011141,0.004235659,0.8339571,0.001340567,0.0001910994,0.0482924,0.007336166,0.0004660452,0.003066932],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1234524,"threshold_uncertainty_score":0.6528866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4302945547436243,"score_gpt":0.5353673727704338,"score_spread":0.1050728180268095,"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."}}