{"id":"W4388948240","doi":"10.1016/j.tele.2023.102085","title":"Exploring the limitations in how ChatGPT introduces environmental justice issues in the United States: A case study of 3,108 counties","year":2023,"lang":"en","type":"article","venue":"Telematics and Informatics","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Virginia Polytechnic Institute and State University","keywords":"Environmental justice; Disadvantaged; Economic Justice; Population; Geography; Sociology; Public economics; Political science; Economics; Demography; Law","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":[0.00720832,0.0001980217,0.0002836483,0.001263946,0.01307014,0.005309044,0.00215184,0.001781156,0.003283177],"category_scores_gemma":[0.02182969,0.0004843458,0.0004117232,0.002307382,0.004544341,0.004194489,0.006109517,0.002294671,0.000209543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007802079,"about_ca_system_score_gemma":0.01728727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1932839,"about_ca_topic_score_gemma":0.4820308,"domain_scores_codex":[0.9928947,0.005024065,0.000155398,0.000331334,0.0004540055,0.001140411],"domain_scores_gemma":[0.9825989,0.01203117,0.001291621,0.0008807005,0.001710625,0.001486895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00009393623,0.0009645457,0.2075333,0.0002191686,0.00004413304,0.005621053,0.7237154,0.001005272,0.0008588166,0.01648721,0.007873357,0.03558377],"study_design_scores_gemma":[0.00001582426,0.0001418002,0.03002311,0.0002672247,0.00004561689,0.0006052574,0.9498433,0.001144848,0.0004226156,0.001523883,0.01594465,0.00002181685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855347,0.000081857,0.001383373,0.004122676,0.00002396203,0.00009702644,0.00009197008,0.00001808092,0.008646319],"genre_scores_gemma":[0.9959413,0.0001404628,0.00177939,0.0005950943,0.000009281975,0.0001348663,0.00003937234,0.0000164755,0.001343677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1932839,"threshold_uncertainty_score":0.3843177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1717475193458662,"score_gpt":0.3311008651399491,"score_spread":0.159353345794083,"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."}}