{"id":"W3126716639","doi":"10.1111/ddi.13238","title":"Can habitat suitability estimated from MaxEnt predict colonizations and extinctions?","year":2021,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Occupancy; Extinction (optical mineralogy); Habitat; Ecology; Climate change; Extinction probability; Neighbourhood (mathematics); Species distribution; Biological dispersal; Local extinction; Geography; Environmental science; Biology; Population; Population size; Demography","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":[0.002180564,0.0004455852,0.0005566264,0.001071285,0.0003093713,0.0009044886,0.0007400732,0.0006065074,0.002261064],"category_scores_gemma":[0.006310393,0.0004664448,0.001054859,0.000804494,0.0005502295,0.001099721,0.000524173,0.0004315307,0.0005655389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00054953,"about_ca_system_score_gemma":0.0002053312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006067346,"about_ca_topic_score_gemma":0.007075652,"domain_scores_codex":[0.9995078,0.0002477171,0.00002486064,0.0001243681,0.00003349029,0.00006171921],"domain_scores_gemma":[0.996576,0.001969766,0.0006451173,0.0003675757,0.0002248752,0.0002166173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002465304,0.00004969867,0.8394194,0.00004132399,0.0002320869,0.00008826635,0.00009991496,0.1515511,0.0005803416,0.0004505917,0.0008189624,0.006421897],"study_design_scores_gemma":[0.00001440674,0.00006572324,0.3616598,0.00002152672,0.0000441314,0.0001773078,0.0001387758,0.6346256,0.0003529724,0.002267705,0.0005972453,0.00003474785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874319,0.0001695565,0.01047144,0.0001407422,0.00001318253,0.000007803822,0.0007665629,0.00009931577,0.0008995261],"genre_scores_gemma":[0.9983984,0.00002055958,0.001039347,0.00001539815,0.000005846116,0.000007621007,0.000365608,0.000009753637,0.0001374883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006067346,"threshold_uncertainty_score":0.01206404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258972092700628,"score_gpt":0.2297624555231472,"score_spread":0.1971727345961409,"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."}}