{"id":"W7161970090","doi":"10.82308/27324","title":"CRISPR/Cas9 based gene editing in wheat and potato to enhance multiple disease resistance","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plant disease resistance; Plant tissue; Environmental factor; Fungi imperfecti","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002661503,0.0004289072,0.0004250667,0.0002835277,0.0002197473,0.0007869502,0.0004114154,0.0006797571,0.003377656],"category_scores_gemma":[0.0003350971,0.0002950868,0.0004661557,0.0002471869,0.0002155795,0.0002903036,0.0005090209,0.0008172822,0.0009972246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003795254,"about_ca_system_score_gemma":0.0003340951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001473601,"about_ca_topic_score_gemma":0.002013686,"domain_scores_codex":[0.9997428,0.0000253259,0.00003812812,0.00009048337,0.00006665217,0.00003657257],"domain_scores_gemma":[0.9998795,0.00002507408,0.00003245848,0.00002143526,0.0000187074,0.0000229113],"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":[0.0002095815,0.00004638053,0.0007208994,0.0003080702,0.00004248339,0.0004210057,0.0001305656,0.001120469,0.9759404,0.001536616,0.001363071,0.01816046],"study_design_scores_gemma":[0.0001887274,0.0006150658,0.008366617,0.0001015813,0.0002250242,0.001672321,0.0002223761,0.01768345,0.8217056,0.001464609,0.1476669,0.00008762647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8202103,0.007485661,0.125033,0.0009369752,0.0009823298,0.0005520551,0.008717114,0.006519179,0.02956335],"genre_scores_gemma":[0.9232433,0.002207117,0.03725616,0.0003749735,0.00002756964,0.0002830177,0.005222854,0.0004892172,0.03089588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003377656,"threshold_uncertainty_score":0.01129937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003702441337062489,"score_gpt":0.3008536015879738,"score_spread":0.2971511602509113,"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."}}