{"id":"W6948900864","doi":"10.5281/zenodo.11476736","title":"IN, SOWETO, DURBAN [# +27710971100 SSD CHEMICAL SOLUTION FOR CLEANING BLACK, WHITE AND BLUE MONEY, IN RANDBURG, RANDFONTEIN, BLOEMFONTEIN, ALEXANDRA, WITBANK, VEREENIGING","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Liberian dollar; Chemical industry; Chemical laboratory; Currency; Chemical waste; Mercury (programming language); Cleaning agent; Extractor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003045529,0.001506665,0.0007170636,0.0009788208,0.002565206,0.004163402,0.0009659951,0.001702421,0.8508942],"category_scores_gemma":[0.001270045,0.0008024001,0.0005643312,0.001427604,0.000543681,0.002111265,0.001859779,0.00162275,0.6656342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350204,"about_ca_system_score_gemma":0.001491178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01400712,"about_ca_topic_score_gemma":0.03523254,"domain_scores_codex":[0.9996592,0.00003167635,0.00001658236,0.0001179398,0.0001108778,0.00006379648],"domain_scores_gemma":[0.9995889,0.0000631145,0.00002556314,0.00004592527,0.0001540908,0.0001223337],"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":[0.000268617,0.0001214579,0.0005617336,0.0004907722,0.00001545938,0.0005361494,0.0002940811,0.0001504855,0.005004276,0.004802817,0.7569683,0.2307857],"study_design_scores_gemma":[0.00001280879,0.00002404409,0.0005218763,0.0000797559,0.000003148579,0.0000745015,0.0002222554,0.00002691819,0.0003329285,0.0001827955,0.9985123,0.000006671832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001687907,0.001604564,0.0006857627,0.0009548187,0.001396786,0.0001362184,0.002988063,0.001387102,0.9891587],"genre_scores_gemma":[0.002135987,0.0005610053,0.0005073781,0.0002229718,0.00003425535,0.00003351194,0.00115629,0.0003920011,0.9949566],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1491058,"threshold_uncertainty_score":0.2126814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417899185684587,"score_gpt":0.2361612156133699,"score_spread":0.211982223756524,"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."}}