{"id":"W4402037745","doi":"10.15273/hpj.v4i1.11991","title":"Addressing Black Maternal Mortality","year":2024,"lang":"en","type":"article","venue":"Healthy Populations Journal","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; University of Toronto; Western University","funders":"","keywords":"Demography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001881972,0.0002206312,0.0003258673,0.0004952415,0.004215982,0.0001716782,0.0002256828,0.0003043007,0.004124508],"category_scores_gemma":[0.0001932014,0.0002017611,0.0001697859,0.000565473,0.0001031397,0.0007016182,0.00008227526,0.002422847,0.002162278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006546959,"about_ca_system_score_gemma":0.001230006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006946322,"about_ca_topic_score_gemma":0.0009210985,"domain_scores_codex":[0.9958708,0.0007662036,0.001498251,0.0003290306,0.0005858701,0.0009498307],"domain_scores_gemma":[0.9981971,0.0002266004,0.0003318645,0.0003296869,0.0002830508,0.0006316675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001089852,0.0001248514,0.6319103,0.002128922,0.0001091461,0.0001743375,0.01082658,0.001131256,0.00001993874,0.2309481,0.1173205,0.005197102],"study_design_scores_gemma":[0.0007097754,0.0001267398,0.7647797,0.001608776,0.0001036102,0.0001572341,0.001648815,0.01850614,0.000001127489,0.04199582,0.1700222,0.0003400143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458451,0.002346537,0.005355757,0.01745107,0.01264261,0.0008767098,0.0001680578,0.000555912,0.01475822],"genre_scores_gemma":[0.9888489,0.0003458861,0.004316476,0.002378891,0.00256864,0.00003858707,0.00006235231,0.00005266115,0.001387558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1889523,"threshold_uncertainty_score":0.9998786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6418590515823329,"score_gpt":0.5960310105520699,"score_spread":0.04582804103026306,"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."}}