{"id":"W2019578180","doi":"10.1139/x09-124","title":"Air pollution, climate, soil acidity, and indicators of forest health in Ontario’s sugar maple forests","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Environmental science; Soil acidification; Soil pH; Maple; Vegetation (pathology); Forest floor; Ecosystem; Pollution; Deposition (geology); Species richness; Air pollution; Ecology; Environmental chemistry; Soil water; Chemistry; Soil science; Biology; Sediment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002277105,0.0001305591,0.0003246623,0.0005045767,0.0002957326,0.00006089102,0.0004891004,0.0001386134,0.000103883],"category_scores_gemma":[0.0002968666,0.00006359911,0.00007296418,0.0009467407,0.0002486806,0.0001982232,0.00003680557,0.0007245187,0.000004776701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005623919,"about_ca_system_score_gemma":0.001889122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3560401,"about_ca_topic_score_gemma":0.9982048,"domain_scores_codex":[0.9976357,0.0002803677,0.0005230179,0.0001889751,0.000451784,0.0009201746],"domain_scores_gemma":[0.9983143,0.0001931403,0.0002209588,0.0000799622,0.0002178717,0.0009737269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001407683,0.00004022169,0.9851266,0.000008820195,0.000008277934,0.000114997,0.0002067323,0.00008284912,0.0004805908,0.0007946987,0.003559377,0.009436053],"study_design_scores_gemma":[0.0002737475,0.001252025,0.9817798,0.0001477256,0.0000022323,0.0001397393,0.0001480215,0.000005001712,0.0001286487,0.002652888,0.01337493,0.00009525858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880731,0.0006370775,3.810437e-7,0.0105872,0.00005023877,0.0001985645,0.00008756467,0.000003812382,0.0003620354],"genre_scores_gemma":[0.9993372,0.0001911944,0.00002451599,0.0002527842,0.00006953694,0.000001759851,0.00002753117,0.000001445679,0.00009403247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6421646,"threshold_uncertainty_score":0.648248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03504248720801608,"score_gpt":0.2807561556178098,"score_spread":0.2457136684097937,"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."}}