{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002484579,0.0004131589,0.0002335423,0.0004200996,0.0002785125,0.0004178809,0.0002864671,0.0002045244,0.0003570593],"category_scores_gemma":[0.0001394479,0.0001040224,0.0002523101,0.00025631,0.0001669441,0.0002639538,0.0002435552,0.0002747764,0.00006459572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007964009,"about_ca_system_score_gemma":0.0002410038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004697585,"about_ca_topic_score_gemma":0.009865158,"domain_scores_codex":[0.9998754,0.00002110828,0.00001115183,0.00003920664,0.00003661288,0.00001638955],"domain_scores_gemma":[0.9998882,0.0000116219,0.00004252812,0.00001041204,0.00002348066,0.00002367834],"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":[0.0001376592,0.00006281772,0.0008264761,0.00005885431,0.00001486864,0.00003568006,0.00002023383,0.00009470577,0.9952436,0.00003132789,0.00001362574,0.003460187],"study_design_scores_gemma":[0.00002110697,0.001345702,0.02236394,0.00001369261,0.00007014191,0.0001697774,0.00007798345,0.0007354929,0.9732328,0.00003910294,0.001916922,0.00001329122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972275,0.0009667274,0.001035416,0.00003127404,0.00000440638,0.00004143498,0.0002251336,0.00002306382,0.0004449636],"genre_scores_gemma":[0.9920849,0.0007488316,0.005281008,0.00004507805,0.000002868774,0.00002666025,0.000448063,0.00001077727,0.00135187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004697585,"threshold_uncertainty_score":0.009340525,"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."}}