{"id":"W2050728355","doi":"10.1007/s002260100099","title":"Differences in wood properties between juvenile wood and mature wood in 10 species grown in China","year":2001,"lang":"en","type":"article","venue":"Wood Science and Technology","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":196,"is_retracted":false,"has_abstract":false,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Juvenile; Softwood; Hardwood; Green wood; Botany; Biology; Wood drying; Materials science; Composite material; Ecology; Moisture","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":[0.0002435638,0.0002329824,0.000384247,0.001106698,0.0001049574,0.00009547796,0.0003441111,0.000230369,0.000022674],"category_scores_gemma":[0.00006416127,0.0001749781,0.00001366394,0.001906246,0.0006962706,0.0004203759,0.0001566183,0.0003689297,0.000008167883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007334617,"about_ca_system_score_gemma":0.00004571944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009882282,"about_ca_topic_score_gemma":0.001211591,"domain_scores_codex":[0.9985819,0.0000173973,0.0002700808,0.0003892779,0.0001923257,0.0005489605],"domain_scores_gemma":[0.999664,0.00002024638,0.00002910082,0.000210798,0.00002314973,0.00005271368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003848983,0.0001730303,0.9321049,0.000128212,0.00002790233,0.0001200697,0.004901045,0.00001893389,0.02492846,0.001588931,0.0001032383,0.03586679],"study_design_scores_gemma":[0.00247534,0.0007453969,0.9208564,0.0005303419,0.00002444376,0.00008730478,0.004843149,0.001130851,0.05906248,0.00691801,0.002365399,0.0009608497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911321,0.004079573,0.000001438065,0.00151069,0.00006235996,0.0002349175,0.000003832291,0.0001753673,0.00279969],"genre_scores_gemma":[0.9987382,0.0007088223,0.0001005804,0.000010734,0.00002293482,0.00005626681,0.000001503058,0.0000129363,0.0003480043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03490594,"threshold_uncertainty_score":0.7135399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610480876000511,"score_gpt":0.1940619564478797,"score_spread":0.1779571476878745,"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."}}