{"id":"W2173471379","doi":"10.1111/2041-210x.12506","title":"Research design considerations to ensure detection of all species in an avian community","year":2015,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Parks Canada; Natural Sciences and Engineering Research Council of Canada; University of Nebraska-Lincoln; World Wildlife Fund","keywords":"Species richness; Occupancy; Rare species; Grid; Statistics; Point (geometry); Global biodiversity; Common species; Point estimation; Count data; Computer science; Biology; Ecology; Biodiversity; Geography; Mathematics; Habitat; Poisson distribution","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2926118,0.001597846,0.001844758,0.001783836,0.002954742,0.003487946,0.003695409,0.003401675,0.008069397],"category_scores_gemma":[0.2920301,0.001742533,0.002185228,0.002211726,0.002598447,0.00301268,0.002250683,0.003069606,0.003558753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0032873,"about_ca_system_score_gemma":0.01380061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004869164,"about_ca_topic_score_gemma":0.01431347,"domain_scores_codex":[0.6790736,0.278905,0.01581487,0.006581364,0.01644777,0.003177367],"domain_scores_gemma":[0.6816289,0.1829978,0.02832273,0.0452069,0.05554182,0.006301824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.03316372,0.01072568,0.08784177,0.01773187,0.002782369,0.001234324,0.0143647,0.03228973,0.02384926,0.05991165,0.0410383,0.6750666],"study_design_scores_gemma":[0.02217366,0.1039013,0.251208,0.01267635,0.003604731,0.001384412,0.008487049,0.0577285,0.03214973,0.07419708,0.4314206,0.001068725],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09352913,0.001275882,0.4720867,0.00896982,0.002309205,0.3844858,0.002280329,0.0009830777,0.03408008],"genre_scores_gemma":[0.09054731,0.0003089176,0.470325,0.003467751,0.000193497,0.4326317,0.000214296,0.00009007011,0.002221469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2926118,"threshold_uncertainty_score":0.8723356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2637473145037157,"score_gpt":0.4321705915290899,"score_spread":0.1684232770253742,"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."}}