{"id":"W4389562110","doi":"10.7185/gold2023.17810","title":"Accelerating sulfide oxidation in the Mackenzie River catchment, Canada","year":2023,"lang":"en","type":"article","venue":"","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Drainage basin; Sulfide; Environmental science; Remote sensing; Hydrology (agriculture); Water resource management; Geology; Geography; Chemistry; Cartography","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":[0.0002009277,0.0001778569,0.0002348719,0.0006266796,0.002347399,0.001260877,0.0005455943,0.0004152711,0.001052337],"category_scores_gemma":[0.000526941,0.0001851805,0.0002569626,0.001117057,0.0006248555,0.0003552372,0.0006772472,0.0003787827,0.00009684353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02098398,"about_ca_system_score_gemma":0.01754837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914841,"about_ca_topic_score_gemma":0.9970223,"domain_scores_codex":[0.9997601,0.00001360308,0.000009216514,0.00004852066,0.00007602407,0.00009259998],"domain_scores_gemma":[0.9996963,0.00001904539,0.0000305985,0.000007696179,0.00017663,0.00006976395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008459936,0.0001894549,0.94387,0.00009999026,0.0001299849,0.0007543606,0.00325117,0.002859864,0.02114564,0.001023487,0.002466644,0.02336335],"study_design_scores_gemma":[0.00001201824,0.0000298891,0.9936418,0.000009204141,0.00002338628,0.00004079149,0.002278967,0.001158026,0.001062921,0.00007634136,0.001654534,0.00001214545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982505,0.00008477625,0.00002952956,0.0001096124,0.000002177829,0.00001131798,0.0002205681,0.000006178975,0.00128517],"genre_scores_gemma":[0.9983764,0.0001045575,0.00009927603,0.00002893492,0.000001166509,0.000003407476,0.0001053278,0.000003068339,0.001277837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02098398,"threshold_uncertainty_score":0.1522501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712011190459158,"score_gpt":0.2200440972258834,"score_spread":0.2029239853212918,"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."}}