{"id":"W2208114172","doi":"10.1007/s13157-015-0717-4","title":"Chloride Concentrations in Wetlands along a Rural to Urban Land Use Gradient","year":2015,"lang":"en","type":"article","venue":"Wetlands","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Wetland; Environmental science; Hydrology (agriculture); Swamp; Surface water; Water quality; Biota; Environmental chemistry; Ecology; Environmental engineering; Geology; Chemistry; Biology","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":[0.0001914435,0.0001169185,0.0001340827,0.00005569149,0.00005309491,0.00007843044,0.0001221756,0.00005006308,0.0001633546],"category_scores_gemma":[0.00006859724,0.0001050839,0.00002627385,0.0002474047,0.00005983548,0.0003120671,0.00008895207,0.00006276768,0.0004519818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002213221,"about_ca_system_score_gemma":0.00001634826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003825248,"about_ca_topic_score_gemma":0.01461956,"domain_scores_codex":[0.9990436,0.00003446946,0.0002130971,0.0002009163,0.0002234485,0.0002844276],"domain_scores_gemma":[0.9995053,0.00002145606,0.00004047821,0.0002014769,0.000008184769,0.0002230636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006299584,0.00002234206,0.9938436,0.000001020449,0.000002962411,0.000008282263,0.0007141784,0.0004350829,0.00173443,0.00008109765,0.003008871,0.00008520727],"study_design_scores_gemma":[0.0008167342,0.00007967636,0.9786799,0.0000120419,0.000006858149,0.00002941865,0.0001156956,0.0003568261,0.002139421,0.000112464,0.01748729,0.0001636999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975723,0.000002618111,0.00007202993,0.0002535517,0.0007249284,0.0002055279,0.00001378709,0.00004970208,0.001105558],"genre_scores_gemma":[0.9992059,0.000002602928,0.000245697,0.0001373781,0.0001326418,0.00003238089,0.0000401102,0.00001112275,0.0001921457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01516365,"threshold_uncertainty_score":0.8158059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01760078280024394,"score_gpt":0.2239980226207688,"score_spread":0.2063972398205249,"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."}}