{"id":"W4229373084","doi":"10.1080/10643389.2022.2071210","title":"Biogeochemical cycle of mercury and controlling technologies: Publications in critical reviews in environmental science & technology in the period of 2017–2021","year":2022,"lang":"en","type":"article","venue":"Critical Reviews in Environmental Science and Technology","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Biogeochemical cycle; Mercury (programming language); Environmental science; Environmental protection; Environmental chemistry; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004187811,0.0002283602,0.0006671345,0.001048404,0.0003167177,0.000020812,0.001115238,0.000149786,0.0002999789],"category_scores_gemma":[0.004815777,0.0001806407,0.00004193694,0.004003946,0.02122871,0.0004285895,0.0017421,0.0006953127,0.00001964883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004692014,"about_ca_system_score_gemma":0.00004181594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000436016,"about_ca_topic_score_gemma":0.00006482383,"domain_scores_codex":[0.9967663,0.000161495,0.000982326,0.0007918809,0.000608279,0.0006897404],"domain_scores_gemma":[0.9989102,0.0002824018,0.0001420395,0.0005884159,0.000005770758,0.00007115908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001382571,0.0009462404,0.4910596,0.00005992802,0.000001732318,0.00001729233,0.001094198,0.000007144125,0.4206342,0.0122067,0.00005977185,0.07389946],"study_design_scores_gemma":[0.006139708,0.002252599,0.3891911,0.001757649,0.0001548846,0.001674547,0.1275171,0.002553454,0.07141578,0.2269502,0.1669922,0.003400755],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662039,0.02114276,0.00001687651,0.01131647,0.00003827694,0.0008508314,0.00003476706,0.00001447416,0.0003816718],"genre_scores_gemma":[0.9838904,0.01441691,0.001083628,0.0001342523,0.000002704739,0.0004594709,0.000003456213,0.000005893907,0.000003307302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3492183,"threshold_uncertainty_score":0.9814349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215754559143372,"score_gpt":0.3310155811966362,"score_spread":0.2988580356052025,"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."}}