{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006020735,0.00009146926,0.00009791592,0.000009611897,0.001898383,0.00005419287,0.00006339624,0.0000609418,0.02413331],"category_scores_gemma":[0.0001561299,0.000100648,0.00003243075,0.0002436541,0.000352653,0.0001352746,0.00104013,0.00007621596,0.00006962326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002886247,"about_ca_system_score_gemma":0.00001339932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001715643,"about_ca_topic_score_gemma":0.005732468,"domain_scores_codex":[0.9992598,0.00004219786,0.00009964404,0.0002838405,0.0001394483,0.0001750981],"domain_scores_gemma":[0.9995366,0.00006435942,0.00003073654,0.0001509779,0.0000380327,0.0001793264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006085074,0.0001361069,0.9938946,0.000003062554,0.00001231458,0.000007779288,0.0002434385,0.000006778282,0.0003037621,0.00197099,0.003281019,0.0001340126],"study_design_scores_gemma":[0.0003199303,0.00001486683,0.992588,0.000003256182,0.00005473549,0.00000787994,0.001635141,0.0001581566,0.0002917255,0.0009775758,0.003841265,0.0001075024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863249,0.00006839695,0.0009419902,0.002243914,0.0000823578,0.00009423893,0.007749287,0.00006547305,0.002429442],"genre_scores_gemma":[0.9969789,0.0001291906,0.0001124319,0.0001152201,0.00000773313,0.00000610209,0.002541944,0.000002302565,0.0001061715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02406368,"threshold_uncertainty_score":0.999401,"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."}}