{"id":"W2003759963","doi":"10.1111/j.1466-8238.2007.00331.x","title":"Can niche‐based distribution models outperform spatial interpolation?","year":2007,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. Geological Survey; National Wildlife Research Center; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Biological dispersal; Spatial analysis; Ecology; Habitat; Breeding bird survey; Geography; Environmental niche modelling; Species distribution; Spatial ecology; Population; Abundance (ecology); Niche; Statistics; Ecological niche; Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007665139,0.0007438931,0.001001958,0.001075627,0.0003782641,0.001361294,0.001754769,0.001447701,0.00390714],"category_scores_gemma":[0.02881194,0.0006412501,0.001061943,0.0009695562,0.0005402901,0.002520176,0.001307644,0.001190043,0.0009339294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009420363,"about_ca_system_score_gemma":0.00152676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0364559,"about_ca_topic_score_gemma":0.02609834,"domain_scores_codex":[0.9980205,0.001430197,0.00008581503,0.0002682072,0.0001006354,0.00009459697],"domain_scores_gemma":[0.98302,0.01347834,0.0009123475,0.001140013,0.001118018,0.0003311291],"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":[0.0002326033,0.00007272756,0.01474477,0.00005998035,0.0001499441,0.00002841305,0.00006638626,0.9510192,0.0001826826,0.003670361,0.0006785157,0.02909438],"study_design_scores_gemma":[0.00001076129,0.0000183943,0.0005776372,0.000009200356,0.000008070519,0.000005457835,0.00001141102,0.996515,0.00006543835,0.002614583,0.0001583833,0.000005630429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5033595,0.001266039,0.4824518,0.002643802,0.0001778705,0.0001005581,0.00116423,0.002935423,0.00590071],"genre_scores_gemma":[0.9372095,0.0001783399,0.06064259,0.0001451696,0.00003808913,0.00003917316,0.0005230164,0.0001687043,0.00105551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0364559,"threshold_uncertainty_score":0.07248741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092773864078499,"score_gpt":0.2319432619131121,"score_spread":0.2210155232723272,"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."}}