{"id":"W7084077369","doi":"10.64628/aam.hnafge7yu","title":"9 ways racism impacts maternal health","year":2019,"lang":"en","type":"article","venue":"","topic":"Probability and Statistical Research","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007013282,0.00006442304,0.0001603238,0.00002703897,0.00003887272,0.00003592711,0.0001292464,0.00003485411,0.004686166],"category_scores_gemma":[0.0006691868,0.00004559329,0.00003321319,0.0000553372,0.00002521437,0.00006136806,0.00006228868,0.0001368087,0.001801404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006739049,"about_ca_system_score_gemma":0.00009964889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001238865,"about_ca_topic_score_gemma":0.00006122198,"domain_scores_codex":[0.9989963,0.00003874295,0.0001869733,0.0001383593,0.0003009687,0.0003387243],"domain_scores_gemma":[0.9988399,0.0006537581,0.00002643157,0.0002490912,0.00003626425,0.000194599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002777425,0.00005687427,0.001387813,0.0002700498,0.000007084858,0.00000258885,0.0000981831,3.013205e-7,0.00007455822,0.9792292,0.007549594,0.01129605],"study_design_scores_gemma":[0.0002844027,0.000145539,0.007808618,0.00003422921,0.00000108667,0.000005811833,0.00001967236,0.000734241,0.0003457171,0.9892753,0.001278216,0.00006714698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7189575,0.00004270541,0.1680892,0.002273866,0.0001614544,0.0006495363,0.00003449235,0.0001541617,0.1096371],"genre_scores_gemma":[0.9339116,0.00001163698,0.06144767,0.0003581445,0.00002085535,0.000004180724,0.0000015376,0.000009632005,0.004234754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2149541,"threshold_uncertainty_score":0.9989758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1396607587129233,"score_gpt":0.4293597375278508,"score_spread":0.2896989788149275,"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."}}