{"id":"W4328010626","doi":"10.5376/cmb.2023.13.0002","title":"Identification and Bioinformatics Analysis of TCP Family Genes in Tree Peony","year":2023,"lang":"en","type":"article","venue":"Computational Molecular Biology","topic":"14-3-3 protein interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Gene; Gene family; Phylogenetic tree; Genetics; Botany; Genome","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":[0.0001451089,0.0002973497,0.0003138617,0.001208583,0.0004456116,0.0003431582,0.0001612242,0.0001939483,0.001082008],"category_scores_gemma":[0.000329363,0.0001131048,0.0005776933,0.001118229,0.00009977473,0.0002462638,0.0002009586,0.0002326285,0.0003689278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002078625,"about_ca_system_score_gemma":0.00039584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345987,"about_ca_topic_score_gemma":0.001924383,"domain_scores_codex":[0.9999036,0.00001090601,0.000009053231,0.00003314223,0.00002553677,0.00001779255],"domain_scores_gemma":[0.9999087,0.00002939386,0.00002093683,0.000005103183,0.00002032505,0.00001543933],"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":[0.001640369,0.0003610868,0.1634853,0.001993634,0.0002814573,0.004952505,0.0008705878,0.009858347,0.6427571,0.001632691,0.009255612,0.1629113],"study_design_scores_gemma":[0.0001419481,0.0005742681,0.6440051,0.0001953211,0.0004843404,0.00463762,0.001295893,0.1932707,0.100697,0.002794051,0.05180579,0.0000980033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760154,0.001453255,0.01166981,0.0001702673,0.00002817846,0.00007402874,0.008381982,0.000606812,0.001600229],"genre_scores_gemma":[0.9218481,0.001563831,0.03657702,0.0001382109,0.00003480111,0.0001845695,0.03732715,0.0001348558,0.002191457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001345987,"threshold_uncertainty_score":0.003619671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202400069546828,"score_gpt":0.3051364525996443,"score_spread":0.293112451904176,"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."}}