{"id":"W4388513260","doi":"10.21203/rs.3.rs-3443927/v1","title":"Nutritional Value Score rates foods based on global health priorities","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"European Commission; Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung; Irish Aid; Global Affairs Canada; Bill and Melinda Gates Foundation","keywords":"Nutrient; Calorie; Nutrient density; Environmental health; Profiling (computer programming); Bioavailability; Metric (unit); Computer science; Business; Medicine; Biology; Marketing; Bioinformatics; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002901554,0.0006144224,0.0003980277,0.005055655,0.0002237184,0.00249386,0.0003522339,0.0005935678,0.02631745],"category_scores_gemma":[0.01536057,0.0001569195,0.0003652394,0.007180848,0.0004412517,0.001108281,0.0008981806,0.0005702135,0.005676342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005631757,"about_ca_system_score_gemma":0.0004144777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003129218,"about_ca_topic_score_gemma":0.003952879,"domain_scores_codex":[0.9987326,0.0005015517,0.00006859757,0.0001430334,0.0004649986,0.00008921437],"domain_scores_gemma":[0.9956641,0.002350695,0.0004447064,0.0004051995,0.000971827,0.0001634853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001117763,0.000267584,0.2309361,0.0006434022,0.00038883,0.0001712498,0.00110808,0.00534739,0.002533529,0.1246241,0.1407407,0.4921213],"study_design_scores_gemma":[0.0002809619,0.000427255,0.4587593,0.000389635,0.0003198842,0.0006069026,0.00449615,0.03117563,0.007796404,0.219546,0.2760381,0.0001638585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4110307,0.001928511,0.05905843,0.004966148,0.0022368,0.0002186559,0.05660653,0.0017046,0.4622497],"genre_scores_gemma":[0.8144147,0.001761673,0.06408268,0.0004668848,0.0006795761,0.0002196224,0.02958153,0.0008657839,0.08792759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02631745,"threshold_uncertainty_score":0.08804065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1927548294191429,"score_gpt":0.4956170035404168,"score_spread":0.3028621741212738,"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."}}