{"id":"W2169407309","doi":"10.1046/j.1365-2699.2000.00461.x","title":"Biodiversity assessment: a case study in predicting richness from the potential distributions of plant species in the forests of south‐western Australia","year":2000,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Species richness; Biodiversity; Ecology; Geography; Body size and species richness; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00212778,0.0004124262,0.0002383901,0.0005333343,0.0005577899,0.0006872883,0.000583378,0.0005318897,0.0008321012],"category_scores_gemma":[0.005816225,0.0002830412,0.0003837755,0.000787631,0.0003867784,0.00062081,0.0005199126,0.000519866,0.0001031232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009828026,"about_ca_system_score_gemma":0.0006197149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04711876,"about_ca_topic_score_gemma":0.05751733,"domain_scores_codex":[0.9994913,0.0003311772,0.00002492561,0.00005060129,0.00006318698,0.00003877357],"domain_scores_gemma":[0.9963947,0.002828529,0.0002027814,0.000154791,0.0002829129,0.0001363456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004972482,0.0008407986,0.6670281,0.0001822476,0.0001529346,0.003500028,0.002685667,0.2501762,0.002166568,0.00145661,0.0008527614,0.07046085],"study_design_scores_gemma":[0.00007602842,0.0006137794,0.27753,0.00005032472,0.00006716066,0.0008067311,0.001854612,0.7142048,0.001955993,0.001498008,0.001297125,0.00004541787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971487,0.00002911578,0.002239198,0.00006817753,0.000001262165,0.00002803016,0.00004995435,0.00001389312,0.0004216125],"genre_scores_gemma":[0.9941911,0.00003590814,0.00536989,0.00001018484,0.000002068966,0.00002608365,0.00008470403,0.000003230601,0.0002768469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04711876,"threshold_uncertainty_score":0.09368896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033718484391765,"score_gpt":0.2676081106860047,"score_spread":0.2338896262942397,"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."}}