{"id":"W6929707803","doi":"10.5061/dryad.8bp7m","title":"Data from: Stand structural diversity rather than species diversity enhances aboveground carbon storage in secondary subtropical forests in Eastern China","year":2016,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Lakehead University","funders":"","keywords":"Subtropics; Structural complexity; Species diversity; Species richness; Diversity index; Biodiversity; Tropical and subtropical moist broadleaf forests; Diversity (politics)","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":[0.0004740542,0.0002304784,0.0001871432,0.0005105106,0.0003406095,0.0003734633,0.0001924628,0.0001269901,0.001919674],"category_scores_gemma":[0.0007131552,0.00009175114,0.0003021888,0.0008867034,0.0002363503,0.0002796924,0.0003289924,0.000117785,0.0001843283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004755729,"about_ca_system_score_gemma":0.0005445004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02584035,"about_ca_topic_score_gemma":0.06748377,"domain_scores_codex":[0.9998314,0.00003051253,0.00002102168,0.00005125056,0.0000393697,0.00002640808],"domain_scores_gemma":[0.9995139,0.0001169036,0.0001338873,0.00004811404,0.0001035975,0.00008366778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006890756,0.00002396706,0.9902801,0.00004121877,0.0000565098,0.00007060445,0.000286193,0.0004036654,0.001966917,0.00006518863,0.0002057894,0.006531063],"study_design_scores_gemma":[0.000001899738,0.00001069377,0.9991204,0.000002467755,0.000009819409,0.00001190003,0.0001109476,0.0004032017,0.0001295583,0.00003230474,0.0001651104,0.000001690578],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9993244,0.00002275974,0.00005881204,0.00001557222,0.000001015812,0.00000221042,0.0002621011,0.000005415382,0.0003076234],"genre_scores_gemma":[0.9991118,0.0000231467,0.0001002574,0.00001079976,0.000002097817,0.000004769773,0.0004622079,0.000001371867,0.0002834713],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02584035,"threshold_uncertainty_score":0.05137986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264223847977367,"score_gpt":0.2447679775811817,"score_spread":0.2221257391014081,"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."}}