{"id":"W4382010935","doi":"10.1007/s00425-023-04185-1","title":"Spatial organization and connectivity of wood rays in Pinus massoniana xylem based on high-resolution μCT-assisted network analysis","year":2023,"lang":"en","type":"article","venue":"Planta","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Object Research Systems (Canada)","funders":"Fundamental Research Funds for Central Universities of the Central South University; National Research Council of the Philippines; National Natural Science Foundation of China","keywords":"Tracheid; Xylem; Parenchyma; Pinus massoniana; Botany; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009212246,0.00008787798,0.0001824463,0.0001997948,0.00003389033,0.0000133961,0.00003302416,0.00005440426,0.00003158565],"category_scores_gemma":[0.00002282511,0.0000809835,0.00002061991,0.0009652397,0.000009297609,0.00003846878,0.00001057551,0.00004878676,0.0000106654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004194486,"about_ca_system_score_gemma":0.000007491215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004107356,"about_ca_topic_score_gemma":0.001464243,"domain_scores_codex":[0.9995119,0.00003820115,0.0001229224,0.0001090176,0.00008624407,0.000131736],"domain_scores_gemma":[0.9997435,0.00009867705,0.00002615257,0.00009541346,0.00001377543,0.00002247469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001034143,0.00005040574,0.4553491,0.00007721382,0.0003338097,0.00002451644,0.0002218539,0.5390959,0.001525285,0.00007796867,0.000632099,0.002508355],"study_design_scores_gemma":[0.0004878136,0.00004547673,0.6153158,0.00002687442,0.0001267934,5.445613e-7,0.000009915493,0.3810204,0.002839551,0.00001554377,0.00002610751,0.00008517478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980632,0.00005403878,0.001200509,0.00005353858,0.00009063184,0.00008635065,0.00004954848,0.0001441766,0.0002580101],"genre_scores_gemma":[0.999507,0.00003662265,0.0000794658,0.000006028543,0.0000369063,0.000004721071,0.0002994451,0.00001225961,0.00001758622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1599666,"threshold_uncertainty_score":0.3302411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009882352986638818,"score_gpt":0.1826122055276391,"score_spread":0.1727298525410003,"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."}}