{"id":"W2176611187","doi":"10.1139/cjfr-2013-0084","title":"Spatial distribution of tree species in a species-rich subtropical mountain forest in central China","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Guild; Ecology; Spatial heterogeneity; Biology; Spatial distribution; Spatial ecology; Habitat; Species distribution; Abundance (ecology); Biological dispersal; Diameter at breast height; Common spatial pattern; Seed dispersal; Geography; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003405352,0.0002085627,0.0001974245,0.001470228,0.0003547871,0.000328034,0.0002689271,0.0001364681,0.0004191725],"category_scores_gemma":[0.0004017592,0.0001436368,0.0002514599,0.001282414,0.0003293605,0.0002192423,0.0003864501,0.00006758857,0.00004498977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004858058,"about_ca_system_score_gemma":0.0003874366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0378843,"about_ca_topic_score_gemma":0.0695325,"domain_scores_codex":[0.9998368,0.0000222964,0.00001638047,0.00005437443,0.00003613131,0.00003409018],"domain_scores_gemma":[0.9996693,0.0000498201,0.00009708985,0.00003296396,0.00007229561,0.00007841047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004470827,0.0000122195,0.9917935,0.00002710522,0.00006114417,0.0001450551,0.0005021045,0.0005588523,0.002836493,0.0000706403,0.00006802747,0.003880272],"study_design_scores_gemma":[0.000001110876,0.000005188839,0.9992527,0.000001517499,0.000007358816,0.00002606726,0.0001074723,0.0005050002,0.0000370653,0.00001226099,0.00004239382,0.000001868565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997982,0.00003316662,0.00003039463,0.000004685917,4.056121e-7,0.000001039335,0.00005566635,0.000001950871,0.00007448065],"genre_scores_gemma":[0.9997465,0.00001860305,0.00005842953,0.000002274443,0.000001241117,0.000001871861,0.0001251743,3.400469e-7,0.00004553583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0378843,"threshold_uncertainty_score":0.07532758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979287474980574,"score_gpt":0.2594827826414486,"score_spread":0.2396899078916429,"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."}}