{"id":"W6901870537","doi":"10.6084/m9.figshare.13558686.v1","title":"Additional file 1 of Inferential challenges when assessing racial/ethnic health disparities in environmental research","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Health equity; Environmental justice; Public health; Qualitative research; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007436231,0.001020688,0.001307443,0.003112961,0.001516262,0.002106304,0.002125472,0.001777848,0.8817498],"category_scores_gemma":[0.1903379,0.0008125377,0.001141496,0.004414604,0.0005439381,0.002904065,0.001540982,0.001672025,0.08995415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001413857,"about_ca_system_score_gemma":0.004178401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008258094,"about_ca_topic_score_gemma":0.01702076,"domain_scores_codex":[0.9970463,0.001194127,0.0006043329,0.0004141107,0.0005322754,0.0002088238],"domain_scores_gemma":[0.7112959,0.2687673,0.004376566,0.005173855,0.009216086,0.00117026],"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":[0.0003586408,0.0001281209,0.002926054,0.00360308,0.00004839652,0.0000817418,0.0002097689,0.0003216185,0.00003482804,0.001872315,0.9760336,0.01438174],"study_design_scores_gemma":[0.01184558,0.0004860332,0.02880251,0.01627956,0.0005370802,0.001328148,0.002526776,0.0043918,0.0009074684,0.05962839,0.8729908,0.0002758581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000440454,0.00005078084,0.001269429,0.0004488307,0.00004917915,0.0005355736,0.9940758,0.0002713918,0.002858578],"genre_scores_gemma":[0.04023024,0.000854846,0.0307141,0.003615826,0.000385234,0.03026472,0.8638582,0.001761523,0.02831542],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8817498,"threshold_uncertainty_score":0.1686696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1830892083963395,"score_gpt":0.4085778671465595,"score_spread":0.2254886587502199,"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."}}