{"id":"W2163517638","doi":"10.4238/2013.september.19.5","title":"Influences of species mixture on biomass of Masson pine (Pinus massoniana Lamb) forests","year":2013,"lang":"en","type":"article","venue":"Genetics and Molecular Research","topic":"Forest ecology and management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Pinus massoniana; Understory; Biomass (ecology); Subtropics; Productivity; Botany; Biology; Tropical and subtropical moist broadleaf forests; Agronomy; Environmental science; Forestry; Ecology; Canopy; Geography","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":[0.0003528654,0.0003777501,0.0002412289,0.001001032,0.0004150627,0.0004721131,0.000213087,0.0001510764,0.0007754538],"category_scores_gemma":[0.0005744617,0.0001526945,0.0002225572,0.0004506033,0.0003683557,0.0003287372,0.0005837309,0.0001304318,0.0001237235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003996821,"about_ca_system_score_gemma":0.0001857138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006126453,"about_ca_topic_score_gemma":0.01951541,"domain_scores_codex":[0.999737,0.00006423516,0.00002458109,0.00008237692,0.00004210653,0.00004976577],"domain_scores_gemma":[0.9994649,0.0001189849,0.0001284607,0.00003363077,0.00006766084,0.0001863711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003247001,0.00003794648,0.9572847,0.00003436818,0.0001360864,0.0002273205,0.0002393007,0.0003481685,0.03581907,0.00007594586,0.00004693529,0.00542542],"study_design_scores_gemma":[0.000001777243,0.00002666351,0.9991094,0.000001689666,0.00001354097,0.00005230569,0.0000955544,0.0002736026,0.0003278266,0.0000268534,0.00006838982,0.000002446101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996675,0.00009927575,0.00002983037,0.00000364841,9.351814e-7,0.000001107264,0.00003487915,0.000002068465,0.0001608129],"genre_scores_gemma":[0.9997762,0.00003737626,0.00003105955,0.000005333366,0.000001957989,0.000001851477,0.00007609304,0.000001289176,0.00006886711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006126453,"threshold_uncertainty_score":0.01218158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914430686772253,"score_gpt":0.281385376561707,"score_spread":0.2622410696939845,"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."}}