{"id":"W2996689398","doi":"","title":"Increasing aluminium concentrations in Southwest Nova Scotia Canada rivers from 1980 to present","year":2014,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Aluminium; Environmental science; Nova (rocket); Geography; Geology; Archaeology; Hydrology (agriculture); Metallurgy; Engineering; Geotechnical engineering; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001993283,0.0001557062,0.0001472667,0.001727576,0.001443682,0.001029396,0.0003984709,0.0004571851,0.001226456],"category_scores_gemma":[0.0005395742,0.0001653473,0.0002128021,0.001859308,0.0005189102,0.0002804459,0.000466982,0.0003574423,0.0002274394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01024693,"about_ca_system_score_gemma":0.006361346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9768379,"about_ca_topic_score_gemma":0.9919983,"domain_scores_codex":[0.9998373,0.000009532321,0.00001549913,0.00004387683,0.00003947603,0.00005438436],"domain_scores_gemma":[0.9993336,0.00004867915,0.0001270038,0.00001215877,0.0003960766,0.00008251655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002470645,0.00002942947,0.9784327,0.0001010422,0.0000477523,0.0005495844,0.002449997,0.0004507679,0.003533331,0.0002420655,0.001780786,0.01213542],"study_design_scores_gemma":[0.000002456166,0.000007119167,0.9964838,0.00002212587,0.00001072583,0.00003852701,0.0009379555,0.00006115567,0.0001777048,0.00001360228,0.002241533,0.000003192883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908271,0.000763374,0.00005079641,0.0002442529,0.00001522252,0.000008464115,0.001913251,0.000008317576,0.006169179],"genre_scores_gemma":[0.9881203,0.0006135026,0.0001512661,0.0001204439,0.000006906685,0.000008033585,0.000957739,0.000004168087,0.01001759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02316213,"threshold_uncertainty_score":0.07434702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347180684384052,"score_gpt":0.218012763043083,"score_spread":0.2045409561992425,"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."}}