{"id":"W2044923609","doi":"10.1046/j.1365-313x.2003.01800.x","title":"A method for profiling classes of plant hormones and their metabolites using liquid chromatography‐electrospray ionization tandem mass spectrometry: an analysis of hormone regulation of thermodormancy of lettuce (<i>Lactuca sativa</i> L.) seeds","year":2003,"lang":"en","type":"article","venue":"The Plant Journal","topic":"Seed Germination and Physiology","field":"Agricultural and Biological Sciences","cited_by":332,"is_retracted":false,"has_abstract":true,"ca_institutions":"Plant Biotechnology Institute; Simon Fraser University","funders":"","keywords":"Abscisic acid; Chemistry; Gibberellin; Electrospray ionization; Chromatography; Germination; Zeatin; Tandem mass spectrometry; Raphanus; Lactuca; Plant hormone; High-performance liquid chromatography; Mass spectrometry; Cytokinin; Biochemistry; Botany; Auxin; Biology","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":[0.0005405804,0.001422699,0.0006669736,0.00153996,0.0006090477,0.0005732119,0.0007404767,0.001128342,0.001333381],"category_scores_gemma":[0.0005273075,0.0005174201,0.0005024952,0.0006910362,0.0004641013,0.0004896405,0.0004736786,0.001144861,0.001127477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005468164,"about_ca_system_score_gemma":0.0009543311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001447813,"about_ca_topic_score_gemma":0.002559593,"domain_scores_codex":[0.9993901,0.00006633681,0.00003588391,0.000215168,0.0002537161,0.00003876277],"domain_scores_gemma":[0.9996058,0.00009312001,0.00007964172,0.00002860621,0.0001264757,0.0000664839],"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":[0.00003969091,0.00002157071,0.0002089982,0.00005283697,0.00001720413,0.00002930017,0.000008530806,0.00003597544,0.9931691,0.00003630171,0.0001207765,0.006259867],"study_design_scores_gemma":[0.00007048896,0.0004109435,0.01063318,0.00003482007,0.0001034539,0.001759061,0.0000290579,0.004498426,0.9727209,0.0001950562,0.00947263,0.00007201014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2120364,0.00980097,0.75997,0.0005349726,0.0003901399,0.001497756,0.004559724,0.007060537,0.004149497],"genre_scores_gemma":[0.2892914,0.007350925,0.6851444,0.001220267,0.0001464933,0.003095916,0.00465626,0.0004677251,0.008626635],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00153996,"threshold_uncertainty_score":0.004460633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02434117450048419,"score_gpt":0.2537539043233538,"score_spread":0.2294127298228696,"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."}}