{"id":"W1993557270","doi":"10.4161/15592324.2014.992748","title":"The identification and characterization of specific ARF-Aux/IAA regulatory modules in plant growth and development","year":2015,"lang":"en","type":"article","venue":"Plant Signaling & Behavior","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Biology; Arabidopsis; Auxin; Computational biology; Identification (biology); Transcription factor; Plant growth; Gene; Cell biology; Genetics; Botany","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001963584,0.0002256949,0.0001190546,0.0003809896,0.0001680375,0.0002230207,0.0002068425,0.0001511775,0.0004373033],"category_scores_gemma":[0.0001277447,0.000155471,0.0001892912,0.0002107353,0.0002438716,0.0002580512,0.0001828552,0.0003290354,0.0003078153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339195,"about_ca_system_score_gemma":0.0002414663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004518937,"about_ca_topic_score_gemma":0.0006277969,"domain_scores_codex":[0.9999021,0.00001443526,0.000005568687,0.00004076445,0.00002025918,0.00001681821],"domain_scores_gemma":[0.9999444,0.00001203958,0.00001285428,0.000008449023,0.000009243947,0.00001289829],"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":[0.00004927655,0.000008291202,0.001303808,0.00003256844,0.000003187982,0.0000372286,0.00001583362,0.0002442584,0.9881385,0.001182008,0.00003472061,0.008950286],"study_design_scores_gemma":[0.000009580207,0.0001261887,0.05213208,0.00001455373,0.00003653183,0.000765402,0.00005812487,0.007153874,0.9215591,0.002899107,0.01523073,0.00001462003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581637,0.008932753,0.02925575,0.0001630755,0.00001610729,0.00002701712,0.0003932035,0.0001134694,0.002934978],"genre_scores_gemma":[0.9852386,0.002185119,0.0100699,0.00003377983,0.00001470796,0.00001778965,0.0005275782,0.00001228189,0.001900309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004518937,"threshold_uncertainty_score":0.002461016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05341261171337099,"score_gpt":0.2412072086405182,"score_spread":0.1877945969271472,"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."}}