{"id":"W7165879860","doi":"10.3724/cbb-t21-107","title":"Study on the Fossil Woods Found in Xinchang, Zhejiang Province, China","year":2002,"lang":"en","type":"article","venue":"植物学通报","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cretaceous; Fossil wood; China; Flora (microbiology); Subtropics; Fossil Record; Paleobotany; Beijing","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":[0.0001838284,0.0003010896,0.0002162853,0.002531665,0.001097998,0.0002719349,0.0003332572,0.000163632,0.0007174726],"category_scores_gemma":[0.0001377507,0.0001879608,0.0001632418,0.002457711,0.0005110216,0.0003052252,0.0004152135,0.0001211685,0.00007690944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004309258,"about_ca_system_score_gemma":0.0005396396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02348137,"about_ca_topic_score_gemma":0.08670399,"domain_scores_codex":[0.9998776,0.000009743544,0.00001622993,0.00003544726,0.00003159062,0.00002938202],"domain_scores_gemma":[0.9998419,0.00001933913,0.00006106398,0.00001173406,0.00003175762,0.00003425323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004750141,0.00002181145,0.9613284,0.0002138711,0.00003005732,0.002499413,0.00387168,0.0001224264,0.01135419,0.0001244046,0.0001518912,0.02023436],"study_design_scores_gemma":[0.00000168408,0.00001861677,0.9966977,0.00001125535,0.00001124679,0.0005088034,0.001256031,0.00004498843,0.0002257627,0.00001818397,0.001203182,0.000002693473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987413,0.000488864,0.00007068174,0.00001478187,0.000004076027,0.00000713622,0.0001314874,0.000003292812,0.0005383788],"genre_scores_gemma":[0.9983593,0.0004312109,0.000218509,0.00002058302,0.000006431709,0.000006214694,0.0003663274,0.000001667604,0.0005898782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02348137,"threshold_uncertainty_score":0.04668939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06365007384301628,"score_gpt":0.1996948314449134,"score_spread":0.1360447576018972,"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."}}