{"id":"W2923639689","doi":"10.1139/facets-2018-0026","title":"Could a residential wood ash recycling programme be part of the solution to calcium decline in lakes and forests in Muskoka (Ontario, Canada)?","year":2019,"lang":"en","type":"article","venue":"FACETS","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; York University","funders":"Ministry of Environment; Natural Sciences and Engineering Research Council of Canada; Ministère de l’Environnement, de la Protection de la nature et des Parcs; Ontario Trillium Foundation","keywords":"Wood ash; Dilution; Environmental science; Daphnia; Nutrient; Calcium; Environmental chemistry; Chemistry; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005714844,0.0001123044,0.0001728251,0.00002688607,0.00003534757,0.00001106504,0.0002023577,0.00007249347,0.0003756408],"category_scores_gemma":[0.00009299166,0.00009283174,0.00002311375,0.0001570889,0.00007554827,0.00008129605,0.0003879783,0.0001795642,0.00001783784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006831371,"about_ca_system_score_gemma":0.00008152286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7878463,"about_ca_topic_score_gemma":0.9983537,"domain_scores_codex":[0.998475,0.00008878714,0.0003120822,0.0002919961,0.000469895,0.0003623044],"domain_scores_gemma":[0.9995077,0.00004240287,0.0000718216,0.0002853281,0.000002278213,0.00009047552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002358814,0.00006317812,0.978632,0.00000860279,0.000003198706,0.000003969494,0.0007431786,0.004611724,0.01347041,0.000003925998,0.00102339,0.001412815],"study_design_scores_gemma":[0.0004431505,0.00004762732,0.9701328,0.00004755935,0.000004546847,0.000002097528,0.00008736538,0.0003615357,0.005551571,0.00005333778,0.02315528,0.0001131176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965293,0.0000215818,0.00002391354,0.001970044,0.0002267322,0.0006992616,0.000007126332,0.000004621976,0.0005173781],"genre_scores_gemma":[0.9984809,0.000003574383,0.0003217305,0.0003324183,0.00001179516,0.00003495661,0.000002955201,0.000009403379,0.0008022528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2105075,"threshold_uncertainty_score":0.4113003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200496053208806,"score_gpt":0.2458297285171951,"score_spread":0.2238247679851071,"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."}}