{"id":"W2164973753","doi":"10.1890/14-0717.1","title":"Decreased competitive interactions drive a reverse species richness latitudinal gradient in subarctic forests","year":2014,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of British Columbia","funders":"Ontario Ministry of Research and Innovation; Wilfrid Laurier University","keywords":"Species richness; Ecology; Abiotic component; Latitude; Biogeography; Competition (biology); Biotic component; Taiga; Subarctic climate; Niche; Biology; Geography; Environmental science","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":[0.000258224,0.0001296179,0.0001962369,0.0006977727,0.0004342245,0.0005346536,0.0001436633,0.000147037,0.0008118242],"category_scores_gemma":[0.0006126527,0.0001347498,0.0001316534,0.0004890085,0.000602641,0.0001292395,0.0002632243,0.0001608718,0.00008122678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006566219,"about_ca_system_score_gemma":0.0005513106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09003859,"about_ca_topic_score_gemma":0.28633,"domain_scores_codex":[0.9998438,0.00003103424,0.0000095614,0.0000417329,0.00003246067,0.00004143654],"domain_scores_gemma":[0.9992156,0.0001206618,0.0002852552,0.00005093691,0.000163755,0.0001636986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008663783,0.0000154875,0.9855554,0.00001826827,0.000049167,0.00004949033,0.0004429597,0.0001459255,0.010579,0.00008603957,0.00006855599,0.002902966],"study_design_scores_gemma":[8.072275e-7,0.000004573146,0.9997082,9.386508e-7,0.000003071709,0.00001768473,0.0001045892,0.0000503402,0.00005460673,0.00001397448,0.00004016445,8.978801e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995403,0.00008352331,0.00005307272,0.00001242642,9.633949e-7,0.00000105104,0.00003463852,0.000002635852,0.000271462],"genre_scores_gemma":[0.9998023,0.00003483114,0.00006163174,0.000007591755,0.000001147402,9.474832e-7,0.00003695107,7.659179e-7,0.0000539071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09003859,"threshold_uncertainty_score":0.179029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009546752898296621,"score_gpt":0.2375780390117174,"score_spread":0.2280312861134207,"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."}}