{"id":"W2744968415","doi":"10.2134/csa2017.62.0803","title":"Wildland Fire Impacts on Mercury in Fish","year":2017,"lang":"hu","type":"article","venue":"CSA News","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Biogeochemical cycle; Wilderness area; Ecosystem; Fire ecology; Fire regime; Geography; Forestry; Hydrology (agriculture); Wilderness; Ecology; Engineering","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":[0.0001912365,0.0001689924,0.0001025806,0.0005141736,0.0002622813,0.0002465798,0.0003467794,0.0001983368,0.01036147],"category_scores_gemma":[0.0004427227,0.00009866078,0.0004489821,0.0008763554,0.00009401312,0.0001828864,0.0003578936,0.0002483262,0.001173508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455159,"about_ca_system_score_gemma":0.0007581529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3528701,"about_ca_topic_score_gemma":0.509679,"domain_scores_codex":[0.9999124,0.000007808247,0.000005607637,0.00001492851,0.00003724978,0.0000220175],"domain_scores_gemma":[0.9996015,0.00002671623,0.0001169163,0.00001371616,0.0001484263,0.00009264844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004072216,0.0001268858,0.9543653,0.0001135132,0.0001496074,0.0001769118,0.0002570164,0.000396017,0.0006265119,0.00009595304,0.01895024,0.02433495],"study_design_scores_gemma":[0.000009015106,0.00005224188,0.9966266,0.00001824272,0.00002828548,0.00002921167,0.0003794468,0.0001021869,0.000124583,0.00002177059,0.002606036,0.000002365919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356247,0.001322842,0.00008638683,0.0008285345,0.00009301158,0.0000487699,0.04889092,0.00006344732,0.01304134],"genre_scores_gemma":[0.9548432,0.001184463,0.000198278,0.0002953716,0.00002314372,0.00005280843,0.02203416,0.00002040526,0.02134819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3528701,"threshold_uncertainty_score":0.7016324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01369761988396183,"score_gpt":0.2496164804229457,"score_spread":0.2359188605389838,"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."}}