{"id":"W4399581807","doi":"10.32614/cran.package.nutrientracker","title":"NutrienTrackeR: Food Composition Information and Dietary Assessment","year":2018,"lang":"en","type":"dataset","venue":"","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Composition (language); Food composition data; Food science; Chemistry; Art","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":[0.00157244,0.00162358,0.001171167,0.003118216,0.0005140805,0.001622416,0.002098255,0.001270267,0.06385783],"category_scores_gemma":[0.006005434,0.0008727887,0.001226503,0.004414971,0.0002396425,0.001292131,0.002047426,0.00144376,0.05118622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008058659,"about_ca_system_score_gemma":0.001510882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0120157,"about_ca_topic_score_gemma":0.02484474,"domain_scores_codex":[0.9992313,0.0001643593,0.0001589139,0.0002093952,0.0001561582,0.00007982741],"domain_scores_gemma":[0.997952,0.0006170783,0.0003097421,0.0005282967,0.0004127673,0.000180056],"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":[0.0002753549,0.00006754519,0.007192854,0.001845765,0.0001328455,0.00007772625,0.0001120112,0.0005221552,0.0004656797,0.0009801649,0.9736607,0.0146672],"study_design_scores_gemma":[0.0003676954,0.00004021214,0.01559826,0.0005191242,0.00007509887,0.0001388546,0.000115566,0.0005854401,0.0007529279,0.002287159,0.9794629,0.00005668987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003268302,0.00004678629,0.0004535186,0.00004677456,0.00001922399,0.00003329077,0.9978716,0.000613815,0.0005880764],"genre_scores_gemma":[0.0007204337,0.00007277785,0.0015679,0.0000467225,0.000007341216,0.0002800327,0.9965472,0.0001340625,0.000623547],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06385783,"threshold_uncertainty_score":0.2136257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156294762054594,"score_gpt":0.2917971729316808,"score_spread":0.2761676967262214,"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."}}