{"id":"W2099314053","doi":"10.1111/j.1466-8238.2008.00427.x","title":"Improved abundance prediction from presence–absence data","year":2008,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Abundance (ecology); Relative species abundance; Cluster analysis; Geography; Poisson distribution; Census; Occupancy; Ecology; Spatial analysis; Grid cell; Statistics; Grid; Mathematics; Biology; Population; Demography; Remote sensing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002281103,0.0004942828,0.0006481208,0.0006143736,0.0001955227,0.0006174107,0.0006853,0.0004456082,0.001251782],"category_scores_gemma":[0.009193841,0.0002800619,0.0003804663,0.0005826614,0.0002243896,0.0008343728,0.0004981364,0.0007380567,0.0005847698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003822014,"about_ca_system_score_gemma":0.0006239152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01237866,"about_ca_topic_score_gemma":0.01200098,"domain_scores_codex":[0.9993176,0.0003210206,0.00002974256,0.0001716175,0.0001146478,0.00004529692],"domain_scores_gemma":[0.9931424,0.004615533,0.000465539,0.0007293076,0.000874525,0.0001726584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004801176,0.0002386446,0.1633847,0.00007771976,0.0002216061,0.0000718462,0.00007810726,0.6457973,0.002867947,0.0008546317,0.003276321,0.1826511],"study_design_scores_gemma":[0.000006744223,0.00001773463,0.006809021,0.000002418683,0.000007771546,0.00001029321,0.000006517727,0.9922671,0.0004089771,0.0003609137,0.00009725032,0.000005299416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7864368,0.0002471959,0.2081195,0.0005208022,0.00005919872,0.00003505255,0.0008777365,0.001626088,0.002077743],"genre_scores_gemma":[0.9705178,0.0000499532,0.0275811,0.00005471999,0.00004796948,0.00001561371,0.0009397904,0.00002473134,0.0007684065],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01237866,"threshold_uncertainty_score":0.0246132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178981741094893,"score_gpt":0.2319801918657567,"score_spread":0.2101903744548078,"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."}}