{"id":"W3015353347","doi":"10.11606/t.41.2020.tde-18112019-101357","title":"Fatores determinantes dos padrões de similaridade, distribuição e abundância de árvores em dois ambientes da Mata Atlântica","year":2020,"lang":"pt","type":"dissertation","venue":"","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalsa Corporation","funders":"","keywords":"Political science","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":[0.0004919391,0.0002172062,0.0002944093,0.0005198209,0.0004871568,0.000915257,0.0002788967,0.0003523118,0.001935051],"category_scores_gemma":[0.001111426,0.0002126103,0.0003658607,0.000558755,0.0004296813,0.0004127649,0.0005833188,0.000289098,0.0001543637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007503518,"about_ca_system_score_gemma":0.0006497051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08709954,"about_ca_topic_score_gemma":0.1891876,"domain_scores_codex":[0.9997066,0.00004916705,0.00001330758,0.0001146278,0.00005205988,0.00006413907],"domain_scores_gemma":[0.9988525,0.0002731055,0.0003443644,0.00004974058,0.0002691282,0.0002111527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001853469,0.00003599665,0.9823513,0.00004511127,0.0001050368,0.00005802282,0.0008403035,0.0001051069,0.01218883,0.0001005233,0.00009003306,0.003894314],"study_design_scores_gemma":[8.044196e-7,0.00002585419,0.9990346,0.000003515424,0.00001544611,0.00001009989,0.00045763,0.0001296416,0.0001414311,0.00002688962,0.0001515162,0.000002508874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984945,0.0002019281,0.0003001378,0.00004934437,0.000004223528,0.000006311677,0.0003314962,0.000007411703,0.0006046254],"genre_scores_gemma":[0.9987909,0.00009286839,0.0003691936,0.00001793292,0.000003309599,0.000009585725,0.0001678678,0.000003972936,0.0005443317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08709954,"threshold_uncertainty_score":0.1731852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009586071685791456,"score_gpt":0.2487795134885223,"score_spread":0.2391934418027309,"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."}}