{"id":"W3013695867","doi":"10.4102/koedoe.v62i1.1579","title":"Sampling bias in reptile occurrence data for the Kruger National Park","year":2020,"lang":"en","type":"article","venue":"Koedoe","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kruger (Canada)","funders":"South African National Parks; University of Cape Town","keywords":"Sampling (signal processing); National park; Geography; Sampling bias; Citizen science; Ecology; Data set; Biology; Statistics; Sample size determination; Computer science","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":[0.0003233175,0.00004051049,0.00004258198,0.000005280425,0.00008977466,0.00001195103,0.0003228845,0.00002742259,0.0006511405],"category_scores_gemma":[0.0006416501,0.0000307011,0.00001157592,0.0001201185,0.00005645619,0.0001626293,0.0001630617,0.00006734566,0.0002145604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002225623,"about_ca_system_score_gemma":0.00001661707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004593685,"about_ca_topic_score_gemma":0.0002321239,"domain_scores_codex":[0.9994767,0.00002029969,0.0001024634,0.0001975954,0.0001071205,0.00009582484],"domain_scores_gemma":[0.9994063,0.000372606,0.00003543878,0.0001594511,0.0000046733,0.00002152809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002483314,0.00002600761,0.8123794,0.000003903582,0.00000510752,5.686729e-7,0.0003588091,0.002364459,0.0001234793,0.0004849503,0.1799878,0.004240638],"study_design_scores_gemma":[0.0001993562,0.00001769566,0.7516079,0.000003559822,0.000005019737,7.880518e-7,0.0000784373,0.0558936,0.00002240225,0.001220042,0.1908748,0.00007642402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309419,0.00007815572,0.009522442,0.05427112,0.0004019111,0.0006738148,0.0003420568,0.00005577385,0.00371278],"genre_scores_gemma":[0.9923509,0.00000613836,0.001190239,0.00617462,0.00007365131,0.00002333158,0.0001059263,0.000002512061,0.00007269831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06140894,"threshold_uncertainty_score":0.7129532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2235019829222693,"score_gpt":0.3302375380300392,"score_spread":0.1067355551077699,"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."}}