{"id":"W4417356360","doi":"10.1016/j.jhazmat.2025.140847","title":"Temperature shapes the biogeography of rdhA and reductive dehalogenators in sediment across northwestern Pacific marginal seas","year":2025,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Chemical Analysis and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China; Key Technologies Research and Development Program; Ministry of Natural Resources","keywords":"Biogeography; Sediment; Biodiversity; Abundance (ecology); Phylogenetic diversity; Genetic algorithm; Dehalogenase; Biota","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001358159,0.000197077,0.0002441476,0.0007558168,0.0006841978,0.0007317003,0.0002701189,0.0003146026,0.0016374],"category_scores_gemma":[0.0004842955,0.0003817287,0.0002163919,0.0008493245,0.0005932149,0.0006358566,0.0006530969,0.0003286485,0.000168914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006510392,"about_ca_system_score_gemma":0.0004558092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.084924,"about_ca_topic_score_gemma":0.136252,"domain_scores_codex":[0.9998902,0.00001221858,0.000007378399,0.00005126184,0.00001484181,0.00002398532],"domain_scores_gemma":[0.9996729,0.00005414184,0.0001181277,0.00002377458,0.00007943406,0.00005163758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001682296,0.00002184769,0.9698802,0.00002116013,0.0000880541,0.00005456673,0.0008927152,0.000576552,0.02506012,0.0001230825,0.0000747148,0.00303882],"study_design_scores_gemma":[9.80112e-7,0.000005696945,0.9991469,0.000002043828,0.000006639228,0.00001136582,0.000333498,0.0001952928,0.0002004725,0.00001658781,0.00007798829,0.000002455374],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995496,0.0000384532,0.00003926252,0.00001464188,8.29012e-7,6.623644e-7,0.00007749056,0.000001847952,0.0002771946],"genre_scores_gemma":[0.999615,0.00004818798,0.00004000806,0.000009252558,0.000001579984,0.000001443664,0.00008936287,0.000003550725,0.0001915827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.084924,"threshold_uncertainty_score":0.1688594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003964977869539805,"score_gpt":0.2279037793427052,"score_spread":0.2239388014731654,"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."}}