{"id":"W6945298060","doi":"10.25345/c5cf9jh3m","title":"MassIVE MSV000091850 - Soybean 24h seed germination exudate proteome in response to LCO and Th17","year":2023,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Germination; Proteome; Exudate; Seed treatment","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":[0.000591183,0.002288036,0.001889231,0.002015292,0.0009609977,0.001496679,0.001893367,0.001860161,0.02197539],"category_scores_gemma":[0.00158521,0.000530793,0.001505618,0.003245595,0.0003176862,0.0007044576,0.001408331,0.001024252,0.02490339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127518,"about_ca_system_score_gemma":0.002109918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02835877,"about_ca_topic_score_gemma":0.05030779,"domain_scores_codex":[0.9995465,0.00004214944,0.00003407145,0.0001913784,0.0001027101,0.00008318391],"domain_scores_gemma":[0.9995516,0.0001147238,0.00005459848,0.00009918315,0.00009383525,0.00008601925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001760861,0.00008430584,0.005571702,0.003187783,0.0003333394,0.0001792232,0.0001022286,0.001137946,0.01031482,0.0007904163,0.9678628,0.008674554],"study_design_scores_gemma":[0.001557407,0.0002158781,0.04733983,0.0006467761,0.0006214675,0.0004837832,0.0002280891,0.003669009,0.008127781,0.002335749,0.9346495,0.0001247616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00205165,0.000438426,0.0001325775,0.00007716658,0.00004341068,0.00001094029,0.9952159,0.0009962142,0.001033758],"genre_scores_gemma":[0.001598882,0.0001318768,0.000370476,0.0000381954,0.000004997333,0.00002931793,0.9973627,0.0000705765,0.0003929693],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02835877,"threshold_uncertainty_score":0.07351506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050597642643072,"score_gpt":0.2963456456064233,"score_spread":0.2758396691799926,"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."}}