{"id":"W3020353567","doi":"10.1007/s11306-020-01684-0","title":"Metabolomics and hormonomics to crack the code of filbert growth","year":2020,"lang":"en","type":"article","venue":"Metabolomics","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metabolomics; Biochemistry; Anthranilic acid; Metabolite; Caffeic acid; Chlorogenic acid; Chemistry; Biology; Metabolism; Botany; Antioxidant; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001163827,0.0001250663,0.0001912149,0.00001304467,0.00006374717,0.00001984438,0.0001894051,0.0001010157,0.000004011996],"category_scores_gemma":[0.0001368444,0.00008614606,0.00005586556,0.00007268859,0.00006320126,0.000004334241,0.0001168898,0.00007009776,0.000008302846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003028866,"about_ca_system_score_gemma":0.00004571766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003141266,"about_ca_topic_score_gemma":0.00008874263,"domain_scores_codex":[0.999344,0.00004024188,0.0001912704,0.0002344277,0.00006097191,0.0001290788],"domain_scores_gemma":[0.9995821,0.00001276047,0.00007454067,0.000168055,0.0000682721,0.00009431135],"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":[0.00009636165,0.00001336389,0.0005637626,0.000009875983,0.00007515655,4.889383e-7,0.0003071356,0.0001671851,0.9822003,0.001708407,0.01386568,0.0009923347],"study_design_scores_gemma":[0.0002328966,0.00009630208,0.001107653,0.000001463591,0.00006770997,0.000008482731,0.00007523574,0.0003390617,0.6142051,0.00003303684,0.3837049,0.0001281097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855151,0.005122225,0.003538344,0.00504786,0.0001113584,0.0002134594,0.0001329393,0.000007994685,0.0003107129],"genre_scores_gemma":[0.9873302,0.002930161,0.00479805,0.003815017,0.0004528101,0.00001368218,0.00015013,0.00002351551,0.0004864431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3698392,"threshold_uncertainty_score":0.3512934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587299090616761,"score_gpt":0.2267759742144866,"score_spread":0.2109029833083189,"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."}}