{"id":"W4307257947","doi":"10.1111/geb.13596","title":"Geographic patterns of tree dispersal modes in Amazonia and their ecological correlates","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Fundação de Amparo à Pesquisa do Estado do Amazonas; Natural Environment Research Council; Sight Research UK; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Biological dispersal; Seed dispersal; Ecology; Abundance (ecology); Amazon rainforest; Abiotic component; Dominance (genetics); Geography; Biology; Demography; Population","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":[0.0002424764,0.00009365405,0.0001282418,0.0007959525,0.0002217669,0.0002969953,0.0001725721,0.0001079412,0.001114829],"category_scores_gemma":[0.001068408,0.000129118,0.0001441485,0.0008747689,0.0002479337,0.0001988122,0.000289237,0.0001287993,0.00007595371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216693,"about_ca_system_score_gemma":0.0001290909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190263,"about_ca_topic_score_gemma":0.02522855,"domain_scores_codex":[0.9998482,0.00003518507,0.00001755815,0.00004768005,0.00002216423,0.00002918968],"domain_scores_gemma":[0.9988987,0.0002152567,0.0006250325,0.00005141031,0.0001169198,0.00009253697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002335318,0.000006574842,0.9964486,0.00001413809,0.00002870932,0.00002653945,0.0003648545,0.00005119874,0.0009725298,0.00005957254,0.00003556418,0.001968246],"study_design_scores_gemma":[9.351112e-7,0.000005532349,0.9996325,0.000002654093,0.000003227105,0.00004100535,0.0001434615,0.00009424572,0.00001902417,0.00001187735,0.00004458123,8.664067e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994298,0.0001007989,0.00006661344,0.0000141504,5.964202e-7,0.000002482907,0.0001646014,0.000002242324,0.0002187771],"genre_scores_gemma":[0.9998041,0.0000267919,0.0000498454,0.00000155537,0.000001044575,0.000001813582,0.00008152577,5.994342e-7,0.00003271926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01190263,"threshold_uncertainty_score":0.02366668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004077288237249939,"score_gpt":0.1919636828033879,"score_spread":0.187886394566138,"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."}}