{"id":"W2811297852","doi":"10.1002/ecy.2438","title":"The importance of accounting for imperfect detection when estimating functional and phylogenetic community structure","year":2018,"lang":"en","type":"article","venue":"Ecology","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Connecticut","keywords":"Ecology; Phylogenetic tree; Imperfect; Community structure; Biology; Community; Econometrics; Evolutionary biology; Economics; Habitat","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002765588,0.00005329347,0.00007811968,0.00000667834,0.00104915,0.000004501073,0.00007077405,0.00005787453,0.0002392488],"category_scores_gemma":[0.0001542456,0.00003836506,0.0000157207,0.00002958667,0.0006049481,0.00003346907,0.0001327772,0.00009960459,0.000004593834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002989437,"about_ca_system_score_gemma":0.000004402685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004972131,"about_ca_topic_score_gemma":0.01519355,"domain_scores_codex":[0.9995849,0.00005511627,0.0001076713,0.00008942412,0.00003238577,0.0001305071],"domain_scores_gemma":[0.999485,0.0003215632,0.00009153351,0.00007657825,0.00001437722,0.00001096935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003036159,0.00001009089,0.9641955,0.000003741358,0.000008996126,7.83572e-8,0.000236548,0.00001702361,0.02951202,0.00003629026,0.0001640734,0.005785221],"study_design_scores_gemma":[0.0001267102,0.0003607846,0.9924628,7.618157e-7,0.00001663562,0.000008203498,0.0001553204,0.0008729446,0.001820106,0.003972998,0.0001636625,0.00003903509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989121,0.00002100614,0.0004875695,0.00007546202,0.0002250031,0.0001242522,0.00000338323,0.000007234772,0.0001439706],"genre_scores_gemma":[0.997568,9.68925e-7,0.002234919,0.00008517746,0.00005815089,0.00001961572,9.559431e-7,0.000003475692,0.00002878504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02826728,"threshold_uncertainty_score":0.847836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576628196561421,"score_gpt":0.2521804752515971,"score_spread":0.2364141932859829,"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."}}