{"id":"W1965871415","doi":"10.1007/bf02840208","title":"Effects of human activities on mercury in the environment in Xi’an area, China","year":2006,"lang":"en","type":"article","venue":"Geochemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mercury (programming language); China; Geology; Environmental science; Environmental chemistry; Chemistry; Geography; Archaeology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003200956,0.0003225349,0.000221455,0.001278127,0.0007667402,0.0003863907,0.0003744203,0.0002827826,0.0005396609],"category_scores_gemma":[0.000290506,0.0002493407,0.0003936699,0.001462791,0.0006699613,0.0002705666,0.000511585,0.0001885595,0.00005787033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377237,"about_ca_system_score_gemma":0.002068228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2844253,"about_ca_topic_score_gemma":0.3758976,"domain_scores_codex":[0.9997117,0.00007170219,0.00002217251,0.00004770405,0.00006253552,0.00008409508],"domain_scores_gemma":[0.9997088,0.00004362491,0.0000713643,0.00001580397,0.00007879836,0.00008160473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002536239,0.00008442151,0.9879709,0.00004932987,0.0001562808,0.0005419997,0.00159999,0.0005924818,0.003071235,0.0001183259,0.0002304357,0.005331042],"study_design_scores_gemma":[0.000002842184,0.00004002799,0.9987479,0.000001773747,0.00001855941,0.00004364554,0.0006372204,0.0001372986,0.0001829569,0.00001975376,0.0001652728,0.000002712836],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995105,0.00006661229,0.00002035883,0.0000378434,0.000002305261,0.000002813456,0.00008615053,0.000001397684,0.0002719901],"genre_scores_gemma":[0.999284,0.0001130483,0.00003494467,0.00001719787,0.000005503204,0.000004123349,0.0001159839,5.282963e-7,0.0004248471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2844253,"threshold_uncertainty_score":0.5655396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007189351837156152,"score_gpt":0.2259900565506268,"score_spread":0.2188007047134706,"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."}}