{"id":"W2887878202","doi":"","title":"Iron biofortification and fortification of lentil (Lens culinaris Medik.)","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Grand Challenges Canada; Natural Sciences and Engineering Research Council of Canada; Saskatchewan Pulse Growers; Ministry of Agriculture - Saskatchewan","keywords":"Biofortification; Fortification; Lens (geology); Food fortification; Biology; Biotechnology; Agronomy; Chemistry; Food science; Micronutrient","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001314268,0.000142853,0.000178505,0.0000303344,0.0001254445,0.00003345554,0.0001073551,0.0002220754,0.0004027159],"category_scores_gemma":[0.00003041617,0.00005654191,0.00006704227,0.0001534018,0.00003290936,0.0001354108,0.00001212308,0.00008660499,0.00004243911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001517112,"about_ca_system_score_gemma":0.000006701619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003637513,"about_ca_topic_score_gemma":0.001924041,"domain_scores_codex":[0.9991134,0.0000225174,0.0003070789,0.0002849641,0.0001389874,0.0001331009],"domain_scores_gemma":[0.9993667,0.00007542941,0.0003151923,0.00005954823,0.0001447021,0.00003845188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008543422,0.00009921093,0.0006454062,0.00009112214,0.00001556893,2.782728e-7,0.0001379431,7.444083e-8,0.9119807,0.000243182,0.005295017,0.08140609],"study_design_scores_gemma":[0.0001906383,0.0007303223,0.1922748,0.0004239564,0.0002025242,0.00001453861,0.002948784,0.0002626486,0.6295287,0.0005375282,0.1722425,0.0006430025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941804,0.0001951752,0.000004232224,0.0001264702,0.0003994257,0.0002476631,0.0001132074,0.00003415071,0.004699314],"genre_scores_gemma":[0.9836217,0.001088708,0.0001023197,0.0000180708,0.0001630277,0.00002762759,0.008183162,0.00000137745,0.00679406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.282452,"threshold_uncertainty_score":0.4409457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688606963637814,"score_gpt":0.2371979820109565,"score_spread":0.2203119123745783,"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."}}