{"id":"W4327814778","doi":"10.1111/1365-2435.14316","title":"Measuring functional redundancy using generalized Hill numbers","year":2023,"lang":"en","type":"article","venue":"Functional Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; College of Family Physicians of Canada; University of Toronto","funders":"","keywords":"Redundancy (engineering); Biology; Taxon; Computer science; Ecology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003052902,0.0001225799,0.0001275795,0.00006106505,0.0003520466,0.00001933582,0.00008720867,0.0001070561,0.2683605],"category_scores_gemma":[0.00009442,0.0001268183,0.00009182088,0.0004634904,0.0001514553,0.0001313132,0.0001542325,0.0001157205,0.01489457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008760795,"about_ca_system_score_gemma":0.00002883131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001474939,"about_ca_topic_score_gemma":0.0004640456,"domain_scores_codex":[0.9987194,0.00007239933,0.0002030682,0.000325378,0.00030988,0.0003699099],"domain_scores_gemma":[0.9995968,0.00007138012,0.00006794364,0.0001318138,0.00002200306,0.0001100849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000211325,0.000194074,0.316055,0.00001405365,0.00009390299,0.00004424649,0.0001303874,0.02847121,0.05382185,0.01147004,0.5886091,0.0008848556],"study_design_scores_gemma":[0.0005822619,0.00002666452,0.8802499,0.00000182444,0.00001479707,0.00005877332,0.0002650691,0.002341236,0.0002082844,0.0008499803,0.1152262,0.0001750113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674609,0.00001068372,0.0003252416,0.0009595743,0.002268425,0.0001073195,0.00004401097,0.0001944038,0.02862947],"genre_scores_gemma":[0.9886063,0.00002272022,0.0001151431,0.001197265,0.0003173655,0.00005807401,0.0005281021,0.00002377318,0.009131288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5641949,"threshold_uncertainty_score":0.9858724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196303759474898,"score_gpt":0.2567063461808911,"score_spread":0.1370759702334013,"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."}}