{"id":"W4231557921","doi":"10.21203/rs.3.rs-18408/v1","title":"Elucidating mitochondrial DNA-markers of Ogura-based CMS linesin Indian cauliflowers (Brassica oleracea var. botrytis L.) and their floral abnormalities due to diversity in cyto-nuclear interaction","year":2020,"lang":"en","type":"preprint","venue":"Research Square (Research Square)","topic":"Cocoa and Sweet Potato Agronomy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute","funders":"Indian Agricultural Research Institute; Indian Council of Agricultural Research","keywords":"Botrytis; Brassica oleracea; Biology; Brassica; Mitochondrial DNA; Nuclear DNA; Botany; Genetics; Botrytis cinerea; Gene","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":[0.0001312784,0.000316611,0.0001602473,0.0007425097,0.0002085826,0.0002095006,0.0001931417,0.0002120408,0.0008747418],"category_scores_gemma":[0.0001805318,0.0001371024,0.00026718,0.0003133418,0.0001787438,0.00009364646,0.000196476,0.0003269251,0.0001939319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259314,"about_ca_system_score_gemma":0.0001352519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001488558,"about_ca_topic_score_gemma":0.003634557,"domain_scores_codex":[0.999882,0.000008022381,0.00001064797,0.00005156949,0.00002826263,0.00001961264],"domain_scores_gemma":[0.9997372,0.00004139938,0.0001357537,0.00002150058,0.00002308372,0.00004105722],"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":[0.00003439647,0.000008056705,0.002175337,0.00001336077,0.000003390581,0.00004584095,0.00004159124,0.00001251796,0.9967437,0.00001534606,0.000007836421,0.0008985328],"study_design_scores_gemma":[0.00002492679,0.0004087299,0.582671,0.00002908051,0.0001216541,0.001475969,0.0003146702,0.0007739193,0.4102956,0.00007579008,0.003787159,0.00002146705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979133,0.0002124539,0.000933626,0.00002349759,0.000004675535,0.00001414815,0.0005385276,0.00004017486,0.0003196884],"genre_scores_gemma":[0.9933887,0.000199752,0.002321728,0.00003551357,0.000004677148,0.00004116332,0.002598623,0.00002318652,0.001386727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001488558,"threshold_uncertainty_score":0.002959788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09341174272503237,"score_gpt":0.3374146036980482,"score_spread":0.2440028609730158,"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."}}