{"id":"W7092290050","doi":"10.58052/iej9b068q","title":"11_RGHR_V1 Individual Sample Plant Structure bog labrador tea seeds","year":2024,"lang":"","type":"other","venue":"System for Earth Sample Registration (SESAR)","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bog; Sample (material); Vegetation (pathology); Population structure; Peat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007802121,0.0006730619,0.0006516007,0.001966123,0.0008238743,0.001057824,0.0009545793,0.000489574,0.103958],"category_scores_gemma":[0.001930955,0.0005927546,0.0004860059,0.001743359,0.0002356163,0.0006166809,0.001182552,0.0004080764,0.08740022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007051411,"about_ca_system_score_gemma":0.001325474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876758,"about_ca_topic_score_gemma":0.03378692,"domain_scores_codex":[0.9994234,0.00005746264,0.00004123344,0.0001944194,0.0001961785,0.00008728671],"domain_scores_gemma":[0.9986559,0.0001950699,0.0001221191,0.0005274341,0.0003973475,0.0001020048],"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":[0.002708584,0.0002531777,0.03423459,0.001006105,0.0001276831,0.0003002185,0.0007171341,0.002605744,0.06632186,0.004083748,0.6136072,0.2740341],"study_design_scores_gemma":[0.000203024,0.0001484347,0.08813225,0.00006921873,0.00008736984,0.0002891572,0.0002823918,0.003879881,0.04733475,0.001603891,0.857888,0.00008161958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04165999,0.0001620949,0.02899738,0.0001908413,0.00006213746,0.0004304405,0.8179463,0.04984596,0.06070489],"genre_scores_gemma":[0.05679251,0.0001225867,0.05422886,0.00009708736,0.00002717993,0.0005770216,0.8358272,0.01248855,0.03983887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.103958,"threshold_uncertainty_score":0.3477743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436604586292936,"score_gpt":0.2684253818073626,"score_spread":0.2440593359444332,"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."}}