{"id":"W2524304305","doi":"10.1017/s0024282916000402","title":"Relationships between air pollution, population density, and lichen biodiversity in the Niagara Escarpment World Biosphere Reserve","year":2016,"lang":"en","type":"article","venue":"The Lichenologist","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Memorial University of Newfoundland; Canadian Museum of Nature","funders":"","keywords":"Escarpment; Lichen; Ecology; Population density; Geography; Population; Biodiversity; Biosphere; Species richness; Pollution; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001013216,0.0001210966,0.0001459461,0.00001792059,0.0005656576,0.00003626719,0.0004179278,0.0001424848,0.0000746094],"category_scores_gemma":[0.0002110664,0.00003136202,0.00004547217,0.000421851,0.0002644316,0.0001187947,0.0002139562,0.0002378709,0.00009085363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006232802,"about_ca_system_score_gemma":0.000005147259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002410063,"about_ca_topic_score_gemma":0.02960013,"domain_scores_codex":[0.9986047,0.0005425703,0.0001974107,0.0002529687,0.000140358,0.0002620657],"domain_scores_gemma":[0.9990051,0.0006845434,0.00009846686,0.0001312361,0.00003321604,0.00004744585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002072418,0.00002636324,0.9912003,0.000001435603,0.00001226935,0.000001621334,0.0002489187,0.000001299866,0.0006383131,0.001941383,0.002111302,0.003796065],"study_design_scores_gemma":[0.0001557331,0.00007461767,0.9892266,0.000008252728,0.00001821836,0.000002897413,0.0004719808,0.000001573171,0.0001377424,0.005856581,0.003946566,0.00009917277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8929114,0.00012623,0.000002514065,0.1059601,0.0000456813,0.0002412728,0.00003014088,0.00004548501,0.0006372157],"genre_scores_gemma":[0.9984348,0.0000327083,0.00002298492,0.0008984257,0.0001434851,0.00001031211,0.00002998865,5.789328e-7,0.0004266528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1055235,"threshold_uncertainty_score":0.9881071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05233976509560744,"score_gpt":0.2279134036291265,"score_spread":0.175573638533519,"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."}}