{"id":"W4402905715","doi":"10.1139/cjb-2024-0022","title":"Phenological growth stages according to the BBCH-scale as a powerful tool for differentiating among CRISPR/Cas9 mutated lineages of the model plant <i>Setaria viridis</i> (L.) P. Beauv. (Poaceae)","year":2024,"lang":"en","type":"article","venue":"Botany","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Setaria viridis; Poaceae; Botany; Phenology; Setaria; Weed","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002852687,0.0003621187,0.0003077043,0.0007251136,0.0003298749,0.0003538357,0.0004026725,0.0003582517,0.002886859],"category_scores_gemma":[0.000237295,0.0002854009,0.000356319,0.0003472218,0.0002593679,0.0002856072,0.0006621946,0.001076294,0.001186591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003425768,"about_ca_system_score_gemma":0.0001499745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001026983,"about_ca_topic_score_gemma":0.00201167,"domain_scores_codex":[0.999616,0.00004533011,0.0000334395,0.0001311978,0.0001256742,0.00004824541],"domain_scores_gemma":[0.9994676,0.0001478611,0.0001460452,0.00007924758,0.00005955868,0.00009975838],"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":[0.00002020163,0.000008463709,0.0001888136,0.00001297708,0.000001875355,0.00001611601,0.00001547971,0.00002976871,0.9985751,0.00004569891,0.00003747732,0.001048018],"study_design_scores_gemma":[0.00001428702,0.0001719585,0.043123,0.000009997546,0.00003024712,0.0002507059,0.00005167056,0.002767933,0.9446789,0.0001146708,0.008747468,0.00003903681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8946871,0.0006373136,0.08932055,0.0001358132,0.0001176856,0.0003614957,0.006930392,0.002392337,0.005417427],"genre_scores_gemma":[0.8487149,0.0004865204,0.1190009,0.0001993663,0.00002638378,0.0007787074,0.0109192,0.001256995,0.01861696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002886859,"threshold_uncertainty_score":0.009657502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01971107340468207,"score_gpt":0.2373760954737209,"score_spread":0.2176650220690388,"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."}}