{"id":"W6976659566","doi":"10.60692/hcmpz-me456","title":"Legume Diversity Patterns in West Central Africa: Influence of Species Biology on Distribution Models","year":2012,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Health, Education, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Species richness; Vegetation (pathology); Species diversity; Diversity (politics); Species distribution; Biodiversity; Environment variable; Distribution (mathematics); Vegetation type","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":[0.0004632429,0.00007643133,0.0001436868,0.0000549703,0.0004791705,0.00002409967,0.0001162918,0.00008432038,0.00001330902],"category_scores_gemma":[0.00002960347,0.00006067909,0.00003058354,0.0001800581,0.0000736332,0.001085795,0.00003222669,0.00005919322,0.00006536775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003292112,"about_ca_system_score_gemma":0.00005039753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001961595,"about_ca_topic_score_gemma":0.00009392563,"domain_scores_codex":[0.9989731,0.0001395854,0.0003068219,0.0000630303,0.0001912549,0.0003261977],"domain_scores_gemma":[0.9995052,0.0000126487,0.0001812429,0.00008514497,0.000128109,0.00008769154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005265172,0.000002858702,0.585761,0.00003743382,0.000003262504,2.022472e-8,0.4052564,0.00007717527,1.084259e-7,0.008803496,0.00002182748,0.00003117154],"study_design_scores_gemma":[0.0001200495,0.00001276826,0.8718925,0.00004667822,0.000004147641,2.086817e-7,0.1266588,0.00001564382,0.00001527177,0.000006587605,0.001162608,0.00006484814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927638,0.000005844323,0.0005520635,0.0001258484,0.0003028283,0.0002095276,0.0001986242,0.00003374134,0.005807728],"genre_scores_gemma":[0.9997594,0.000004831351,0.000004902512,0.00002180541,0.00009417681,0.000009208766,0.00002565889,0.000001115154,0.00007890331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2861314,"threshold_uncertainty_score":0.368544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07756047653516944,"score_gpt":0.2606153028442147,"score_spread":0.1830548263090452,"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."}}