{"id":"W4412478952","doi":"10.1016/j.marenvres.2025.107365","title":"Spatial patterns of total and methane-cycling microbial communities in surface sediments of the eastern Guangdong coast in summer","year":2025,"lang":"en","type":"article","venue":"Marine Environmental Research","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); National Natural Science Foundation of China; Key Laboratory of Global Change and Marine-Atmospheric Chemistry; Ministry of Natural Resources","keywords":"Cycling; Methane; Environmental science; Oceanography; Geography; Physical geography; Ecology; Geology; Biology; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001128534,0.0001275308,0.0002240912,0.0001057123,0.00006357134,0.00001028888,0.0003130037,0.00008169129,0.001038023],"category_scores_gemma":[0.00002313377,0.0001006676,0.00004110356,0.0002352662,0.0005323087,0.0000755919,0.00268438,0.000519507,0.00001012615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001806705,"about_ca_system_score_gemma":0.0000119088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05354971,"about_ca_topic_score_gemma":0.008364547,"domain_scores_codex":[0.9980716,0.0005525294,0.0003818448,0.0002098262,0.0004433481,0.0003409247],"domain_scores_gemma":[0.9993071,0.0002670353,0.00007040703,0.0003104621,0.00000231232,0.00004266404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007876496,0.000235481,0.9558014,0.0000400431,0.00001401845,0.000003123567,0.0009729931,0.001948344,0.03695621,0.000005533012,0.000005397015,0.003938653],"study_design_scores_gemma":[0.001059839,0.00006560297,0.9666439,0.0001157285,0.000006226866,0.000001463107,0.001788489,0.002766848,0.02726626,0.000100176,0.00009279138,0.00009263033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976304,0.00006550668,0.000007408032,0.00009311501,0.00006869884,0.0003553766,0.00002277834,0.000001829685,0.001754891],"genre_scores_gemma":[0.9978893,0.0001623918,0.00005469437,0.00001929533,0.000005200166,0.000007544617,0.00001471844,0.00001082332,0.001835978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04518516,"threshold_uncertainty_score":0.9998752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02772602463023434,"score_gpt":0.2888580006268895,"score_spread":0.2611319759966552,"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."}}