{"id":"W3041979677","doi":"10.5376/ijh.2020.10.0001","title":"Genome-wide Identification and Expression Analysis of GRAS Genes in Cucumber","year":2020,"lang":"en","type":"article","venue":"International Journal of Horticulture","topic":"Advances in Cucurbitaceae Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Biology; Gene; Genetics; Genome; Computational biology; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001276136,0.00005765249,0.000130184,0.0001012185,0.00001004209,0.00001742097,0.0002173675,0.00005412461,0.00001961324],"category_scores_gemma":[0.0002854046,0.00004467651,0.00007306947,0.0001625632,0.00004273173,0.0000151758,0.00008009423,0.00009047944,6.293209e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001543222,"about_ca_system_score_gemma":0.00002537214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002785719,"about_ca_topic_score_gemma":0.00001931862,"domain_scores_codex":[0.999163,0.00003669613,0.0003340756,0.0001159339,0.0002868675,0.00006338549],"domain_scores_gemma":[0.9992519,0.00001651713,0.0002317374,0.00005482477,0.0003901763,0.00005482107],"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":[0.0001018179,0.00002951519,0.1363108,0.00000533958,0.0003164425,0.00001237809,0.0001848881,0.00225246,0.8601605,0.000007898651,0.0001490094,0.0004689589],"study_design_scores_gemma":[0.0006982228,0.0001855724,0.3038221,0.00003214366,0.0001696843,0.00003401888,0.000604737,0.0005968102,0.6825281,0.0001004545,0.01109131,0.0001368639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940508,0.002061655,0.003044534,0.0006742461,0.00005255008,0.0000390188,0.00001189592,8.794601e-7,0.00006442076],"genre_scores_gemma":[0.9978366,0.0010993,0.0007543052,0.00007231424,0.0001599845,0.000001382844,0.00002990269,0.00000437062,0.0000417798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1776324,"threshold_uncertainty_score":0.1821855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01281105813173771,"score_gpt":0.3241096062911095,"score_spread":0.3112985481593717,"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."}}