{"id":"W4283519469","doi":"10.1177/0169796x221104856","title":"Mitigating Tannery Pollution in Sub-Saharan Africa and South Asia","year":2022,"lang":"en","type":"article","venue":"Journal of Developing Societies","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Natural resource economics; Business; Pollution; Human health; Carbon footprint; Environmental protection; China; Environmental science; Greenhouse gas; Geography; Economics; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.0005887991,0.00006757629,0.0001837693,0.0001033519,0.0001479073,0.0000116741,0.00004201541,0.00002571922,0.00001452491],"category_scores_gemma":[0.00003116452,0.00006300252,0.00005235405,0.0001464842,0.00003864226,0.00006275105,0.00008141801,0.0002890453,0.000001040265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004064349,"about_ca_system_score_gemma":0.0001031046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004257944,"about_ca_topic_score_gemma":8.117551e-7,"domain_scores_codex":[0.9990724,0.00006143487,0.000325269,0.00007587841,0.0003087332,0.0001562326],"domain_scores_gemma":[0.9997076,0.00001906824,0.0001619883,0.00004359824,0.00001570256,0.00005200137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009779257,0.0006669315,0.4017226,0.00375304,0.001092915,0.001874176,0.1741969,0.002930182,0.02248033,0.001208992,0.2333518,0.1557442],"study_design_scores_gemma":[0.002917934,0.0009195743,0.793795,0.0009458942,0.0000959531,0.0006452735,0.108234,0.0002167912,0.001301355,0.00143456,0.08913665,0.0003569416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780216,0.003875314,0.0001290293,0.01712843,0.0001471863,0.0001068924,0.00000216172,0.000006460114,0.0005829636],"genre_scores_gemma":[0.9954872,0.0007358012,0.002262891,0.001168769,0.00007356658,0.000004365188,0.000001692923,0.000009148003,0.0002565474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3920725,"threshold_uncertainty_score":0.2569169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816134925470218,"score_gpt":0.258975809939325,"score_spread":0.2308144606846228,"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."}}