{"meta":{"query_hash":"2164c5fb9d74","filters":{"venue":"The global public health conference"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/2164c5fb9d74","api":"https://metacan.xera.ac/api/v1/cohort?venue=%C2%98The+%C2%9Cglobal+public+health+conference"},"results":[{"id":"W3080125118","doi":"10.17501/26138417.2020.3102","title":"Study on the Knowledge Gap in Training Organized for Traditional Birth Attendants (TBAs) in Rural Guatemala and the Way for Improvement","year":2020,"lang":"en","type":"article","venue":"The global public health conference","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Training (meteorology); Computer science; Knowledge management; Geography","score_opus":0.21576613760100122,"score_gpt":0.35173715871033795,"score_spread":0.13597102110933673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080125118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939405,0.0007344396,0.00008719283,0.0037479107,0.000017943596,0.000060520782,0.00005109788,0.0000040235313,0.0013564561],"genre_scores_gemma":[0.9986303,0.0004007333,0.00017551258,0.000456871,0.000006033887,0.000074154435,0.000021296682,0.0000013214819,0.00023384846],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99686545,0.0015085671,0.00016269536,0.00020043197,0.0004081937,0.00085460895],"domain_scores_gemma":[0.9915529,0.0046376884,0.0015662452,0.00015535607,0.0009028048,0.0011848634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045497967,0.00022012668,0.00040894188,0.0013513075,0.0028437737,0.0015312633,0.001184782,0.0009497477,0.0028525682],"category_scores_gemma":[0.01227468,0.00022986147,0.00032785485,0.0017561611,0.001886013,0.0018319826,0.0029472932,0.00094292895,0.000109767236],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014778279,0.0007155031,0.28332502,0.0020443283,0.000064664484,0.0023396353,0.6319023,0.000104791,0.001599835,0.0017415842,0.0020000627,0.07401461],"study_design_scores_gemma":[0.000023003318,0.00039586023,0.31971064,0.0010540339,0.00004590485,0.00049663935,0.670815,0.00021322496,0.0002648374,0.00027702443,0.00668636,0.000017459244],"about_ca_topic_score_codex":0.05958877,"about_ca_topic_score_gemma":0.07346005,"teacher_disagreement_score":0.05958877,"about_ca_system_score_codex":0.0058666286,"about_ca_system_score_gemma":0.015263,"threshold_uncertainty_score":0.11848384},"labels":[],"label_agreement":null}]}