{"id":"W1554901441","doi":"10.1111/j.2041-210x.2011.00105.x","title":"Estimating abundance from presence/absence maps","year":2011,"lang":"en","type":"article","venue":"Methods in Ecology and Evolution","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Council","keywords":"Abundance (ecology); Relative abundance distribution; Macroecology; Poisson distribution; Statistics; Spatial analysis; Negative binomial distribution; Species distribution; Data set; Population; Count data; Ecology; Occupancy; Relative species abundance; Mathematics; Biology; Species richness; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005301163,0.0004271727,0.0003557813,0.002335527,0.0001779327,0.0005580992,0.0005271369,0.0002429325,0.002758088],"category_scores_gemma":[0.003981583,0.0002358458,0.0002674086,0.001070988,0.0001842128,0.0007754183,0.000467155,0.0002979184,0.001164783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072695,"about_ca_system_score_gemma":0.0001878153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00461824,"about_ca_topic_score_gemma":0.005079784,"domain_scores_codex":[0.9996396,0.0001030973,0.00002663645,0.0001015418,0.0001057669,0.00002315008],"domain_scores_gemma":[0.9983863,0.0008082629,0.0001979791,0.0001965868,0.0003548417,0.00005623934],"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":[0.0002482966,0.0001254834,0.2598312,0.0003910462,0.0002568952,0.0002114178,0.0003160296,0.1134671,0.01179935,0.004261164,0.007837021,0.6012551],"study_design_scores_gemma":[0.00002360594,0.00004985339,0.1172787,0.00005712025,0.00005495329,0.0003394519,0.0002430799,0.8584569,0.007010627,0.009402452,0.00703301,0.0000503504],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3525663,0.0003896313,0.6320927,0.0001344828,0.00005435852,0.00008696372,0.005275743,0.002617223,0.006782677],"genre_scores_gemma":[0.7940769,0.0001426586,0.1989465,0.00003516832,0.00005469223,0.000081061,0.004913817,0.00008429863,0.001664912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00461824,"threshold_uncertainty_score":0.009226739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849762891266646,"score_gpt":0.316145317127747,"score_spread":0.2876476882150806,"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."}}