{"id":"W2145145853","doi":"10.1186/1471-2229-13-167","title":"iTRAQ-based protein profiling provides insights into the central metabolism changes driving grape berry development and ripening","year":2013,"lang":"en","type":"article","venue":"BMC Plant Biology","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Genome British Columbia; Universidad de Alicante; University of Victoria; Genome Canada","keywords":"Ripening; Berry; Biology; Proteome; Metabolic pathway; Vitis vinifera; Botany; Food science; Biochemistry; Metabolism","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002066563,0.0002167033,0.0002279578,0.00001855695,0.000579223,0.000142473,0.0002734613,0.0001334759,0.00006824888],"category_scores_gemma":[0.0001417236,0.00005601717,0.00004817317,0.0001886124,0.0001675743,0.0001303535,0.0001373145,0.000196187,0.00002816399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000230332,"about_ca_system_score_gemma":0.00002968712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001170124,"about_ca_topic_score_gemma":0.008401047,"domain_scores_codex":[0.9983972,0.0002219392,0.0002345862,0.000389455,0.0001648106,0.0005920031],"domain_scores_gemma":[0.9993246,0.0002923168,0.00008507448,0.00004918706,0.00008206227,0.0001668265],"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":[0.00001670034,0.00002311568,0.01138379,0.00001904737,0.00001526005,0.000001830838,0.0006391843,5.884411e-7,0.9503264,0.0005828048,0.00002886755,0.03696234],"study_design_scores_gemma":[0.0002219008,0.0002205066,0.3991907,0.00008873738,0.00001533558,0.0000125757,0.001643523,0.0004929216,0.5689395,0.0006644483,0.02807773,0.0004320583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995979,0.0007393488,0.000004955792,0.002107681,0.00006658496,0.0009775987,0.000006022651,0.00006778357,0.00005098393],"genre_scores_gemma":[0.9976289,0.00003789891,0.001191455,0.0001957159,0.0002148955,0.0003749569,0.0001734334,0.000001289105,0.0001814145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.387807,"threshold_uncertainty_score":0.4687981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702377144997265,"score_gpt":0.2381390512852625,"score_spread":0.2011152798352898,"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."}}