{"id":"W2382431168","doi":"","title":"Age estimation and age structure of Osmunda japonica population","year":2010,"lang":"en","type":"article","venue":"","topic":"Fern and Epiphyte Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Rhizoid; Cambium; Japonica; Population; Age structure; Biology; Botany; Demography; Xylem","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":[0.0004468,0.0001410183,0.0001595047,0.001360893,0.0002491002,0.0001936409,0.0001990975,0.0001315123,0.0006559407],"category_scores_gemma":[0.0006050706,0.0001073072,0.0001665907,0.0003716165,0.0001297739,0.0003061605,0.0002977713,0.0001487443,0.0001999208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598689,"about_ca_system_score_gemma":0.000121002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00334238,"about_ca_topic_score_gemma":0.005694087,"domain_scores_codex":[0.9998473,0.0000188597,0.00001317461,0.000076106,0.00002640812,0.00001804913],"domain_scores_gemma":[0.999665,0.00005389908,0.0001032319,0.00003497327,0.0001046322,0.00003826247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001295359,0.00002430994,0.9172711,0.00003530353,0.00002956888,0.0001493757,0.0009285389,0.00122619,0.04013998,0.0004039423,0.0001893872,0.03947267],"study_design_scores_gemma":[0.000004472274,0.00007179137,0.9907542,0.000005553777,0.00001788379,0.0001760763,0.0002046726,0.004852041,0.002870245,0.0001455505,0.0008863839,0.00001117066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933582,0.00009999057,0.005370598,0.000007979469,0.000002922792,0.00001826062,0.0002894076,0.00003320485,0.0008194133],"genre_scores_gemma":[0.9937181,0.00005448257,0.004788684,0.000005701,0.000002095367,0.00003467019,0.0007363542,0.00000711362,0.0006527726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00334238,"threshold_uncertainty_score":0.006645858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102327553092838,"score_gpt":0.2212969522848262,"score_spread":0.2110641969755424,"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."}}