{"id":"W2722085350","doi":"10.21769/bioprotoc.2331","title":"Root Aliphatic Suberin Analysis Using Non-extraction or Solvent-extraction Methods","year":2017,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Government of Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Enseignement Supérieur et de la Recherche; Agence Nationale de la Recherche","keywords":"Suberin; Transmethylation; Extraction (chemistry); Chemistry; Chromatography; Solvent; Solvent extraction; Botany; Organic chemistry; Cell wall; Biochemistry; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003399551,0.0001976827,0.0002723253,0.00002633545,0.000999802,0.0003331261,0.0002581893,0.000125386,0.001060498],"category_scores_gemma":[0.00005018822,0.00006748024,0.0001975188,0.0002131962,0.00004656613,0.0004586511,0.00008052089,0.0000887185,0.00005756356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007309837,"about_ca_system_score_gemma":0.00001380067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003070853,"about_ca_topic_score_gemma":0.002868302,"domain_scores_codex":[0.9987742,0.0001064353,0.0002730594,0.0003630819,0.0001935808,0.0002895923],"domain_scores_gemma":[0.9992215,0.00007053417,0.0003761863,0.0001728913,0.00005579146,0.0001031084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005700127,0.0003750118,0.08606522,0.00003148012,0.0003780819,0.00002923759,0.00002486959,0.00009148906,0.7919827,0.00000421551,0.0001245454,0.1203231],"study_design_scores_gemma":[0.001000913,0.0005168775,0.7705531,0.00006001459,0.0004825197,0.00002708663,0.0001264479,0.01225084,0.1438994,0.00006747329,0.07050107,0.0005143035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7267132,0.000004218602,0.0008349643,0.0003218191,0.00021591,0.2705626,0.00004807565,0.00008830476,0.001210882],"genre_scores_gemma":[0.5985393,0.000002019173,0.006487738,0.00003639173,0.0002548812,0.3929594,0.00004400363,0.000003351928,0.001672946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6844878,"threshold_uncertainty_score":0.9998527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1210385997308323,"score_gpt":0.4252856442643818,"score_spread":0.3042470445335494,"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."}}