{"id":"W7075343377","doi":"","title":"Tree species community spatial structure in a terra firme Amazon forest, Brazil","year":2014,"lang":"en","type":"article","venue":"Scientific Electronic Library Online (Scientific Electronic Library Online)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Amazon rainforest; Rainforest; Spatial distribution; Canonical correspondence analysis; Tropical rainforest; Diameter at breast height; Range (aeronautics); Sampling (signal processing); Species distribution","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":[0.0003243385,0.0001216557,0.0002111186,0.00123475,0.0004323511,0.0004786414,0.0002157985,0.0001282332,0.0007615137],"category_scores_gemma":[0.0009662197,0.0001347935,0.0001247977,0.001483153,0.0003783263,0.0002608016,0.0003601065,0.00008864047,0.00009759054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000493926,"about_ca_system_score_gemma":0.0004162492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05999332,"about_ca_topic_score_gemma":0.146555,"domain_scores_codex":[0.9997734,0.00004778436,0.00001825472,0.00008169901,0.00004224136,0.00003661022],"domain_scores_gemma":[0.9993773,0.0001541457,0.0001890077,0.00004248661,0.0001485,0.00008873703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004292794,0.00002579035,0.9812127,0.00005563277,0.00003796833,0.000145274,0.00325666,0.0001434272,0.004217939,0.0002763155,0.0001439056,0.01044147],"study_design_scores_gemma":[0.000002861329,0.00002826348,0.9972779,0.00001014758,0.00001257977,0.000132598,0.00163047,0.0003574858,0.00008907524,0.00005233897,0.000401569,0.000004659186],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990038,0.000120297,0.00008751623,0.00001695947,7.835536e-7,0.000007842403,0.0002160665,0.000004771241,0.000541927],"genre_scores_gemma":[0.9994722,0.00004836091,0.0002343333,0.000004510048,8.56022e-7,0.000005460693,0.0001515987,0.000001073887,0.00008165415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05999332,"threshold_uncertainty_score":0.1192883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01149010362537823,"score_gpt":0.241812477360494,"score_spread":0.2303223737351157,"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."}}