{"id":"W1989648669","doi":"10.1038/423823b","title":"Mycorrhizal weathering in base-poor forests","year":2003,"lang":"en","type":"letter","venue":"Nature","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Weathering; Environmental science; Base (topology); Earth science; Geology; Agroforestry; Geochemistry; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0003643591,0.0004046763,0.0003457517,0.00007880321,0.00005203114,0.00002715614,0.0005629899,0.005264951,0.008261668],"category_scores_gemma":[0.0001242813,0.0003730035,0.0001271339,0.0002354665,0.0001049711,0.000114939,0.0002238952,0.01153077,0.00240357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007836758,"about_ca_system_score_gemma":0.0000135435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007768845,"about_ca_topic_score_gemma":0.0001574796,"domain_scores_codex":[0.9973243,0.0001663255,0.0002914412,0.0007537329,0.0008085362,0.0006556517],"domain_scores_gemma":[0.9990678,0.0001025092,0.00009999883,0.0006530595,0.00000172991,0.00007484778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003011745,0.00002668494,0.02067221,0.00002191419,0.000006861649,0.0005500666,0.00003868268,0.0003493884,0.0001831962,0.000002479798,0.9771639,0.0009815916],"study_design_scores_gemma":[0.0001742948,0.00002078277,0.01429562,0.00004633482,0.00001323877,0.00002924425,0.000006292927,0.00008505244,0.0003810696,0.0002500743,0.9842916,0.0004064237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1713656,0.002466645,0.0001933292,0.7160037,0.005027963,0.002026589,0.0001680591,0.0002270033,0.1025211],"genre_scores_gemma":[0.02115165,0.00008470213,0.003405378,0.9598274,0.0009870562,0.00009066236,0.000121992,0.0001566138,0.01417459],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2438237,"threshold_uncertainty_score":0.9998722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006984314950082351,"score_gpt":0.2215099312040106,"score_spread":0.2145256162539282,"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."}}