{"id":"W4223983269","doi":"10.3390/plants11081044","title":"CRISPR/Cas9 in Planta Hairy Root Transformation: A Powerful Platform for Functional Analysis of Root Traits in Soybean","year":2022,"lang":"en","type":"review","venue":"Plants","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Government of Canada; Université Laval; Grain Farmers of Ontario; Génome Québec; Canadian Field Crop Research Alliance; Genome Canada","keywords":"CRISPR; Root (linguistics); Transformation (genetics); Biology; Computational biology; Genetics; Gene; Linguistics; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003924937,0.0005489648,0.0005530248,0.0003873386,0.0003151411,0.0004485289,0.0005255257,0.0004549987,0.001170277],"category_scores_gemma":[0.0001327725,0.0003638359,0.0004780716,0.0003204586,0.0002436193,0.0002992318,0.0005273636,0.001080726,0.001532942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919108,"about_ca_system_score_gemma":0.0004181853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516272,"about_ca_topic_score_gemma":0.002236407,"domain_scores_codex":[0.9996558,0.00003454101,0.00004115707,0.00008396088,0.0001500953,0.00003438821],"domain_scores_gemma":[0.9999404,0.000007480051,0.00001723115,0.000009571759,0.000009873263,0.00001543079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000340853,0.000008670122,0.00008249826,0.00008108954,0.00000509183,0.00006806266,0.00001316645,0.0001371667,0.9938095,0.0002420277,0.0003109556,0.005207682],"study_design_scores_gemma":[0.0000345674,0.0001623107,0.00243812,0.00003384541,0.0000420687,0.0009577487,0.0000293478,0.004229366,0.9382964,0.0002690191,0.05346574,0.00004149869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.4439112,0.0210106,0.486039,0.001617918,0.0007878796,0.000869026,0.009551031,0.0162198,0.01999355],"genre_scores_gemma":[0.6976935,0.01277394,0.2492744,0.0004446152,0.00008268997,0.0004880563,0.01173276,0.001436347,0.02607364],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001516272,"threshold_uncertainty_score":0.003914952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05138407142296543,"score_gpt":0.3044789186400041,"score_spread":0.2530948472170387,"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."}}