{"id":"W2763281520","doi":"10.24870/cjb.2017-a194","title":"Analysis of iron and zinc homeostasis in barnyard millet through transcriptome and ionome approach","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Biotechnology","topic":"Plant Micronutrient Interactions and Effects","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Iron homeostasis; Transcriptome; Zinc; Biology; Biotechnology; Metallurgy; Biochemistry; Materials science; Gene; Gene expression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001512161,0.00007220944,0.0002869187,0.0001998748,0.0001468951,0.00003845133,0.0002058136,0.0001714285,0.00003152157],"category_scores_gemma":[0.00004511371,0.00003373614,0.00006180845,0.0002297037,0.0002314237,0.0001254489,0.00001472469,0.0001683986,3.510014e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000268954,"about_ca_system_score_gemma":0.00001812088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008913916,"about_ca_topic_score_gemma":0.04778379,"domain_scores_codex":[0.9994591,0.00002365825,0.0001973865,0.0001170968,0.00003719854,0.0001655362],"domain_scores_gemma":[0.9995976,0.00003832292,0.0001803249,0.00005958036,0.00002328778,0.0001008756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001199359,0.0001163432,0.2485925,0.00005067825,0.0006000092,0.000191745,0.0008905915,0.00003189769,0.51578,0.002154079,0.0005339913,0.2309382],"study_design_scores_gemma":[0.0005064372,0.0006131604,0.9425516,0.00007054974,0.0002769429,0.0003253398,0.001335954,0.0001787033,0.008466467,0.0002943469,0.04515018,0.0002303207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994925,0.001569321,0.000009298999,0.003151193,0.00005585199,0.00004638478,0.0001012121,0.000002170059,0.0001395377],"genre_scores_gemma":[0.9988654,0.0009491008,0.0001117585,0.00004062496,0.00001488095,7.047972e-7,0.000007620413,4.565083e-7,0.000009458618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6939591,"threshold_uncertainty_score":0.9976858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683454713187361,"score_gpt":0.2142801245181083,"score_spread":0.1974455773862347,"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."}}