{"id":"W2042705771","doi":"10.1007/s10144-006-0026-0","title":"Unifying and distinguishing diversity ordering methods for comparing communities","year":2006,"lang":"en","type":"article","venue":"Population Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dominance (genetics); Diversity (politics); Plot (graphics); Rank (graph theory); Statistics; Biology; Group (periodic table); Ecology; Mathematics; Combinatorics; Sociology; Physics","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":[0.0003442313,0.00005887175,0.0001179305,0.00002551021,0.001092493,0.00001198409,0.00006231256,0.00004382534,0.00003863778],"category_scores_gemma":[0.00008116999,0.00006511583,0.00001564647,0.00004533147,0.00009855749,0.0001040045,0.0003907784,0.00005869356,0.000002581573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000685508,"about_ca_system_score_gemma":9.060682e-7,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002866734,"about_ca_topic_score_gemma":0.04463094,"domain_scores_codex":[0.9995291,0.00009089805,0.0001251485,0.00009496162,0.00002515936,0.0001347362],"domain_scores_gemma":[0.9994344,0.0004144371,0.00007545589,0.0000534456,0.000008331811,0.00001390566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003848865,0.00001020412,0.9851996,0.000007454271,0.00000502729,1.321009e-7,0.00048715,0.009814359,0.00001191356,0.003320437,0.00001692754,0.001123001],"study_design_scores_gemma":[0.0001642019,0.00001290628,0.890163,0.000001672434,0.00001154923,0.000001182674,0.0003175761,0.09530681,0.00000307705,0.01385239,0.0001024513,0.00006318784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528704,0.0000193622,0.04402583,0.0001382073,0.0001333836,0.0001138555,9.437932e-7,0.00003614949,0.002661868],"genre_scores_gemma":[0.959577,0.000002986879,0.04021025,0.00006679669,0.00001619657,0.00001192621,0.00002579422,0.00000401302,0.00008504355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09503654,"threshold_uncertainty_score":0.972802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04265963733670262,"score_gpt":0.3185179695894028,"score_spread":0.2758583322527001,"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."}}