{"id":"W4398209955","doi":"10.1186/s13717-024-00517-5","title":"Environmental drivers of tree species richness in the southernmost portion of the Paranaense forests","year":2024,"lang":"en","type":"article","venue":"Ecological Processes","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Universidad de la República Uruguay","keywords":"Species richness; Geography; Tree (set theory); Agroforestry; Ecology; Forestry; Environmental science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002109646,0.00007012021,0.0001019126,0.00001467177,0.00009137099,0.000005791001,0.000220678,0.00005228827,0.0004963804],"category_scores_gemma":[0.0001248769,0.0000345545,0.00004120461,0.0002467606,0.0006154774,0.00006879237,0.00009908556,0.00009575594,0.00003248165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003873392,"about_ca_system_score_gemma":0.00000965678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005704227,"about_ca_topic_score_gemma":0.001725641,"domain_scores_codex":[0.9993562,0.00005901934,0.0001815889,0.000139548,0.0001555344,0.0001081542],"domain_scores_gemma":[0.9995425,0.0002891232,0.00007214931,0.00008420655,0.000003063444,0.000008954249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007704765,0.0001492055,0.9950737,0.00004093666,0.000009187798,0.000005644105,0.002042973,0.001276939,0.0005290825,0.000477071,0.0001538835,0.0002336675],"study_design_scores_gemma":[0.00007405753,0.00006710544,0.9934543,0.000009792877,0.00001374956,0.000002380641,0.001494201,0.0002793662,0.0004220128,0.003872256,0.0002666294,0.00004413418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947625,0.000176261,0.00003633716,0.0005703909,0.00006253087,0.0001662043,0.00001043897,0.000008448856,0.00420687],"genre_scores_gemma":[0.9995383,0.00007705631,0.00002041413,0.0000874846,0.000007308448,0.00002248491,0.000001772254,0.000002582544,0.0002425862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004775793,"threshold_uncertainty_score":0.5435017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009907593890147094,"score_gpt":0.2128521333332118,"score_spread":0.2029445394430648,"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."}}