{"id":"W2145936875","doi":"10.1023/a:1014163600945","title":"Interpretation of Mercury Concentrations in Eight Headwater Lakes in Kejimkujik National Park, (Nova Scotia, Canada) by Use of a Geographic Information System and Statistical Techniques","year":2002,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Atlantic School of Theology","funders":"Parks Canada","keywords":"Bedrock; Watershed; Mercury (programming language); Structural basin; Hydrology (agriculture); Total organic carbon; Alkalinity; Geology; Watershed area; Drainage basin; Geochemistry; Environmental chemistry; Geomorphology; Chemistry; Geography","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":[0.000241159,0.0002743872,0.0002408198,0.001625305,0.00179078,0.0007891934,0.0004656536,0.0002278644,0.0004413373],"category_scores_gemma":[0.001002914,0.0002728483,0.0002266415,0.002645438,0.0005499445,0.0001654069,0.0004982254,0.0002302489,0.00007335711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008198469,"about_ca_system_score_gemma":0.009137955,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9762457,"about_ca_topic_score_gemma":0.9909994,"domain_scores_codex":[0.9997011,0.00003687872,0.00003239004,0.00005363357,0.0001062482,0.00006970377],"domain_scores_gemma":[0.9992664,0.00008354088,0.0001210231,0.00001946596,0.0004197916,0.00008969451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002289402,0.00003483602,0.9833665,0.00006671155,0.00006506575,0.000206529,0.001428735,0.000724313,0.004187226,0.00008956633,0.0004360581,0.00916547],"study_design_scores_gemma":[0.000005666777,0.00001610401,0.9976574,0.00000468868,0.00002021572,0.00002815468,0.001002854,0.0004648621,0.0004546211,0.000009155833,0.0003308373,0.00000543673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972616,0.00005301975,0.0001315379,0.00002271959,0.000002212196,0.00004789661,0.001361124,0.000009374628,0.001110425],"genre_scores_gemma":[0.9958063,0.00009262304,0.001296321,0.00002114495,0.00000179373,0.00004970323,0.001299854,0.00000429944,0.001428014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0237543,"threshold_uncertainty_score":0.05948436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041017128479716,"score_gpt":0.2108612549172366,"score_spread":0.2004510836324394,"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."}}