{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001870793,0.00008491426,0.0001236381,0.00007571412,0.00009183198,0.0000228286,0.00009769585,0.00007092676,0.000004013488],"category_scores_gemma":[0.00001081664,0.00005896771,0.00005622054,0.00007813289,0.00009174413,0.00001887452,0.0000109683,0.00004121771,2.825668e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008963397,"about_ca_system_score_gemma":0.0001409489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001085374,"about_ca_topic_score_gemma":0.0000757837,"domain_scores_codex":[0.9992415,0.00004369299,0.0003095734,0.0001093902,0.0001965231,0.00009929477],"domain_scores_gemma":[0.999532,0.000005977178,0.0002714329,0.00005657693,0.00009074454,0.00004325341],"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":[0.00005537641,0.00005134652,0.001029747,0.00001951719,0.000005732076,0.000008736368,0.00008352468,0.0005133122,0.9971793,0.000004782524,0.00007169514,0.0009769012],"study_design_scores_gemma":[0.0004077773,0.0004958558,0.0102661,0.0000528301,0.00003299271,0.0005284745,0.0000796747,0.00365875,0.9833249,0.00001719707,0.001035877,0.00009953373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992847,0.00239508,0.004289575,0.000185981,0.0001350965,0.00007381752,0.00001560568,0.000001673008,0.00005615846],"genre_scores_gemma":[0.9949152,0.0002196103,0.004573215,0.00003999191,0.0001993729,5.558525e-7,0.00001717091,0.000003473681,0.00003137256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01385439,"threshold_uncertainty_score":0.2404633,"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."}}