{"id":"W1996777098","doi":"10.1007/bf02703916","title":"Genetic transformation of peanut (Arachis hypogaea L.) using cotyledonary node as explant and a promoterlessgus::nptII fusion gene based vector","year":2006,"lang":"en","type":"article","venue":"Journal of Biosciences","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Plant Biotechnology Institute","funders":"Indian Council of Agricultural Research; Council of Scientific and Industrial Research, India","keywords":"Transformation (genetics); Biology; Explant culture; Kanamycin; Agrobacterium; GUS reporter system; Arachis hypogaea; Callus; Agrobacterium tumefaciens; Botany; Fusion gene; Transformation efficiency; Gene; Horticulture; Genetics; In vitro","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":[0.000176891,0.0008203084,0.0003330618,0.000403763,0.0003002529,0.0002579171,0.0005531444,0.0002823429,0.0014737],"category_scores_gemma":[0.0001029304,0.0003474366,0.000414996,0.0003863613,0.0002600652,0.0001906642,0.0003983047,0.0009097137,0.0009714993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000622323,"about_ca_system_score_gemma":0.000525777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004530674,"about_ca_topic_score_gemma":0.008065558,"domain_scores_codex":[0.9998717,0.00001259394,0.0000110894,0.00003602501,0.00004610597,0.00002239418],"domain_scores_gemma":[0.9999222,0.00001353147,0.00001711877,0.00001202601,0.000009803287,0.00002528162],"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":[0.00001436156,0.000007589713,0.0000319752,0.00002542414,0.000001686731,0.00002991599,0.00001348249,0.00001876884,0.9993771,0.00005615762,0.00002039587,0.0004031388],"study_design_scores_gemma":[0.00002349533,0.0001264355,0.003558334,0.00001155065,0.00004024896,0.0003746981,0.00004506762,0.0006599859,0.9861049,0.00006789147,0.008973967,0.00001348478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090037,0.001623079,0.06715775,0.0003068484,0.0003280642,0.0009083172,0.007562254,0.001087503,0.01202255],"genre_scores_gemma":[0.8670858,0.0023013,0.0559715,0.0001253794,0.00003834595,0.000487281,0.01893017,0.0003910795,0.0546691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004530674,"threshold_uncertainty_score":0.009008586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032093466628455,"score_gpt":0.2282891628567201,"score_spread":0.2179682281904355,"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."}}