{"id":"W4312300924","doi":"10.37867/te130366","title":"DECIPHERING THE ROLE OF EXPERIMENTALLY VALIDATED NICOTIANA TABACUM (TOBACCO) MIRNAS IN HUMAN HEALTH – A COMPUTATIONAL GENOMICS ASSESSMENT","year":2021,"lang":"en","type":"article","venue":"Towards Excellence","topic":"Plant Genetic and Mutation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Nicotiana tabacum; Biology; microRNA; Nicotiana; Regulator; Nicotine; Computational biology; Genetics; Biotechnology; Gene; Solanaceae","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004996908,0.0003859319,0.000641079,0.0006628382,0.0003978333,0.0006560204,0.0003907383,0.0005145717,0.001882209],"category_scores_gemma":[0.0009705432,0.0002097483,0.001424215,0.0004859708,0.0001926922,0.0002609113,0.0003669735,0.0004765054,0.0003509402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003792676,"about_ca_system_score_gemma":0.0007474818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007289913,"about_ca_topic_score_gemma":0.01163468,"domain_scores_codex":[0.9998102,0.00005184354,0.00001008957,0.00008523835,0.00001934582,0.00002331774],"domain_scores_gemma":[0.9997337,0.000202676,0.00001800273,0.00001422183,0.00001923643,0.00001217629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002924882,0.001060502,0.4234134,0.002840223,0.003084804,0.002017393,0.0004327812,0.3243397,0.0766084,0.005562469,0.01170615,0.1460094],"study_design_scores_gemma":[0.0001582024,0.0005139962,0.09014608,0.0001056364,0.001009447,0.0008367868,0.0004151628,0.8802091,0.007966015,0.008397956,0.01018832,0.00005320115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9354977,0.003848765,0.03682632,0.00111918,0.00007171484,0.00008496286,0.01914677,0.0009034176,0.002501186],"genre_scores_gemma":[0.9452927,0.001022788,0.02515799,0.0002920071,0.00002690006,0.00009862906,0.02687448,0.00008674673,0.00114762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007289913,"threshold_uncertainty_score":0.01449496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02693090157079608,"score_gpt":0.2916012597554242,"score_spread":0.2646703581846281,"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."}}