{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002152564,0.0002364322,0.0002245762,0.00004124288,0.00009436657,0.0001168308,0.000396757,0.00008788225,0.0001890746],"category_scores_gemma":[0.00007893777,0.0002333014,0.00003500949,0.0002116192,0.00007964895,0.0002648144,0.000172951,0.0001847437,0.0003826881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003688422,"about_ca_system_score_gemma":0.0001813223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.959192,"about_ca_topic_score_gemma":0.9321668,"domain_scores_codex":[0.9979932,0.0001005994,0.0003845279,0.0005120497,0.0004636096,0.0005460376],"domain_scores_gemma":[0.9990745,0.0001155053,0.0001117112,0.0003237755,0.00002553569,0.0003489906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002406643,0.00006537163,0.9533432,0.000002270617,0.000008456617,0.00001990746,0.0004055544,0.033343,0.009732207,0.0001630662,0.001333642,0.001559288],"study_design_scores_gemma":[0.0004255987,0.00003639875,0.9831933,0.00002966761,0.00001075294,0.000003084998,0.0001175076,0.006715791,0.005242057,0.0004845711,0.003403706,0.0003375003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900058,0.000003558808,0.0002286318,0.00128228,0.0005174996,0.0002310513,0.00005272229,0.00002925114,0.007649228],"genre_scores_gemma":[0.9968477,0.000001849751,0.002005727,0.0006808864,0.0001654655,0.000007140507,0.0001167459,0.00001573771,0.0001587301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0298502,"threshold_uncertainty_score":0.9513756,"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."}}