{"id":"W2064760278","doi":"10.1111/j.1365-2311.2003.00551.x","title":"Water–energy balance and the geographic pattern of species richness of western Palearctic butterflies","year":2003,"lang":"en","type":"article","venue":"Ecological Entomology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":136,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Species richness; Butterfly; Body size and species richness; Ecology; Macroecology; Range (aeronautics); Spatial analysis; Spatial ecology; Species diversity; Spatial variability; Spatial heterogeneity; Biology; Geography; Statistics; Mathematics; Remote sensing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003744058,0.00009993615,0.0002917948,0.00002927957,0.00009700487,0.000003714185,0.0001527559,0.000097218,0.0008856406],"category_scores_gemma":[0.00008656067,0.00005318467,0.00004977049,0.00008125179,0.002222372,0.00003552502,0.0001878536,0.00008625154,0.0000177135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001171455,"about_ca_system_score_gemma":0.000002042366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007641072,"about_ca_topic_score_gemma":0.0006827904,"domain_scores_codex":[0.9989371,0.0003100207,0.0002499869,0.0001926437,0.0000869365,0.0002232943],"domain_scores_gemma":[0.9992994,0.0004292116,0.000104926,0.0001277497,0.00001356998,0.00002514788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002165144,0.00008803262,0.9909064,0.000009862653,0.00002908495,0.000004635537,0.000362003,0.0001444447,0.0003376329,0.007980982,0.000009746874,0.0001054794],"study_design_scores_gemma":[0.0006542453,0.0001687956,0.9856575,0.000002234408,0.0000195221,0.00002348349,0.0001044651,0.000145749,0.0006089412,0.01226127,0.0002832724,0.00007052768],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955484,0.0001184009,0.0005552666,0.0007743907,0.0001054508,0.00008452871,0.00000205549,0.000008841113,0.002802621],"genre_scores_gemma":[0.9986647,0.0002657948,0.00004466789,0.0003921509,0.0000061326,0.00002828428,0.000001855028,0.00000327762,0.0005931512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005248949,"threshold_uncertainty_score":0.9697143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00756022092685393,"score_gpt":0.2029498232883168,"score_spread":0.1953896023614629,"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."}}