{"id":"W3015198680","doi":"10.1002/ecs2.3101","title":"Of detectability and camouflage: evaluating Pollard Walk rules using a common, cryptic butterfly","year":2020,"lang":"en","type":"article","venue":"Ecosphere","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sampling (signal processing); Abundance (ecology); Butterfly; Ecology; Population; Negative binomial distribution; Statistics; Occupancy; Physical geography; Biology; Poisson distribution; Geography; Mathematics; Physics; Demography","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.005877911,0.0005577427,0.0005197996,0.001539951,0.0003980423,0.001227257,0.0006646576,0.0008019082,0.0004707726],"category_scores_gemma":[0.02274386,0.0002996463,0.0007328116,0.0005490177,0.0007330313,0.0009787425,0.0006090947,0.0004228149,0.00006705368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105837,"about_ca_system_score_gemma":0.0007405399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03480408,"about_ca_topic_score_gemma":0.04167952,"domain_scores_codex":[0.9980426,0.001025856,0.000126944,0.0003937525,0.0002644919,0.0001463625],"domain_scores_gemma":[0.9555655,0.03782583,0.003352089,0.001055599,0.001230431,0.0009705128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001476019,0.0002113632,0.7378284,0.00006339294,0.0005875413,0.0001448253,0.0001230216,0.2415295,0.002326664,0.0003645016,0.0001732403,0.01517147],"study_design_scores_gemma":[0.00002334556,0.0003744131,0.1167523,0.000013961,0.00009808043,0.0001232508,0.00009458795,0.8810239,0.0009935286,0.0004080537,0.00006618182,0.00002837341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939505,0.00008503718,0.005664333,0.0000209564,0.000003654665,0.00001350863,0.00006128825,0.00003213111,0.00016855],"genre_scores_gemma":[0.9977183,0.00001433877,0.002120858,0.000006132105,0.000002349691,0.000004261844,0.00008558101,0.000003318136,0.00004487531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03480408,"threshold_uncertainty_score":0.06920296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05611768760568529,"score_gpt":0.2888463671002419,"score_spread":0.2327286794945566,"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."}}