{"id":"W2946502178","doi":"10.1111/geb.12925","title":"Ecogeographical rules and the macroecology of food webs","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Université de Montréal; Université de Sherbrooke","funders":"Division of Physics; Directorate for Biological Sciences","keywords":"Macroecology; Food web; Ecology; Bergmann's rule; Taxon; Food chain; Latitude; Geography; Biology; Trophic level; Biogeography","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001824705,0.0001124896,0.0002663908,0.00001302292,0.0001750433,0.00001388011,0.0001253022,0.0001345577,0.00009497396],"category_scores_gemma":[0.00001462373,0.00003478789,0.0001088762,0.0002346556,0.0008714674,0.00002871735,0.0001513957,0.00007095651,0.00001147756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001847223,"about_ca_system_score_gemma":0.000002409169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008859026,"about_ca_topic_score_gemma":0.004615909,"domain_scores_codex":[0.9992699,0.00007667021,0.0001493207,0.000215572,0.00005840027,0.0002301121],"domain_scores_gemma":[0.9995643,0.0002739608,0.0000693343,0.00001967884,0.00002832658,0.00004441682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001680627,0.00003227847,0.9757167,0.000005613609,0.00008210365,0.000001122292,0.000007395878,1.715408e-8,0.0006549489,0.02084669,0.000123817,0.002361275],"study_design_scores_gemma":[0.0004875205,0.0007106162,0.9794686,0.000003567122,0.00002940868,0.0000284068,0.000107667,0.000003384257,0.00002897717,0.01370665,0.005341648,0.00008352398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935539,0.002244205,4.004065e-8,0.001890596,0.00007255073,0.0001844996,0.0002808579,0.00001880386,0.001754594],"genre_scores_gemma":[0.9982657,0.0012161,0.00002004367,0.0004450196,0.00002676613,0.000008103629,0.00001220878,2.364214e-7,0.000005814541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007140039,"threshold_uncertainty_score":0.3210958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007334083029604918,"score_gpt":0.1738440531899186,"score_spread":0.1665099701603137,"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."}}