{"id":"W2101254522","doi":"10.1093/jxb/eri224","title":"In vivo 13C NMR metabolite profiling: potential for understanding and assessing conifer seed quality","year":2005,"lang":"en","type":"article","venue":"Journal of Experimental Botany","topic":"Seed Germination and Physiology","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Forests, Lands and Natural Resource Operations","keywords":"Seedling; Germination; Cupressaceae; Pinaceae; Metabolite; Asparagine; Metabolomics; Biology; Botany; In vivo; Oleoresin; Chemistry; Amino acid; Biochemistry; Chromatography; Biotechnology; Pinus <genus>","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001153094,0.0003181117,0.0001947944,0.0001835457,0.0001956782,0.0002477175,0.0001133525,0.0001788389,0.0006495884],"category_scores_gemma":[0.0001426671,0.0001185372,0.00005025953,0.0001906013,0.0001693935,0.0002928567,0.00009788289,0.0002209309,0.00009132934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354158,"about_ca_system_score_gemma":0.0002104809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579871,"about_ca_topic_score_gemma":0.007979161,"domain_scores_codex":[0.9999614,0.000008579161,0.000002147162,0.00001291132,0.000007890471,0.000007118583],"domain_scores_gemma":[0.999891,0.0000272337,0.00003506952,0.00001078682,0.00001960474,0.00001633831],"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":[0.00008417927,0.0000105135,0.004482192,0.0000292854,0.000003668481,0.00003766565,0.00002050238,0.00009965437,0.9914441,0.00004121652,0.00002133867,0.003725786],"study_design_scores_gemma":[0.00002488055,0.0005511667,0.2774355,0.00001685546,0.00008885214,0.0009421212,0.0002966757,0.00462166,0.711547,0.0004144867,0.004026483,0.00003419041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896141,0.0007202029,0.0079838,0.00008388513,0.000003852785,0.00001748616,0.0003743961,0.00006383976,0.001138571],"genre_scores_gemma":[0.9838014,0.001037868,0.0134578,0.00006347011,0.000008936489,0.00002251607,0.0005722053,0.00002008941,0.00101572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002579871,"threshold_uncertainty_score":0.005129695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06434382301883347,"score_gpt":0.3434002772478757,"score_spread":0.2790564542290422,"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."}}