{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"f2f13776df5c","filters":{"venue":"Advances in Translational Medicine"}},"results":[{"id":"W4416457225","doi":"10.55976/atm.42025138821-39","title":"Explanatory model of South Asian newcomer mother and Canadian-born mother comprehension: A cross-sectional","year":2025,"lang":"","type":"article","venue":"Advances in Translational Medicine","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Numeracy; Comprehension; Health literacy; Descriptive statistics; Explanatory model; Health care; Item response theory; Literacy","authors":[{"name":"Dahlia Khajeei","is_ca":true},{"name":"Hannah Tait Neufeld","is_ca":true},{"name":"Lorie Donelle","is_ca":true},{"name":"Elena Neiterman","is_ca":true},{"name":"Ishita Shreshtha","is_ca":true},{"name":"Mukul Pant","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06119969206571088,"gpt":0.4355500573570241,"spread":0.3743503652913133,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003949083,0.0007561597,0.0004377701,0.001146499,0.001281885,0.001284578,0.001074788,0.0005990657,0.006240478],"category_scores_gemma":[0.01052873,0.0003802095,0.001368324,0.001301591,0.0005527694,0.0004752034,0.0009012578,0.0008245065,0.0003630347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0044568,"about_ca_system_score_gemma":0.008233847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6584212,"about_ca_topic_score_gemma":0.4555285,"domain_scores_codex":[0.9990802,0.0002427323,0.00006926274,0.0002264736,0.0001918588,0.0001894027],"domain_scores_gemma":[0.9949655,0.002337299,0.0007260176,0.0003977806,0.001232006,0.0003413692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001536494,0.0001313088,0.9913769,0.00002465939,0.0001089624,0.0001483675,0.004124521,0.0002093807,0.0001434882,0.0002288321,0.0002550894,0.003094919],"study_design_scores_gemma":[0.00003626759,0.0003322664,0.9766641,0.00008111559,0.0003583911,0.0002603707,0.009597102,0.01102256,0.0003380632,0.0002610011,0.001008924,0.00003981628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99814,0.00005251156,0.0002579688,0.000135034,0.000004577447,0.00005229407,0.0007008055,0.000005996937,0.0006508282],"genre_scores_gemma":[0.997337,0.0000869521,0.0005962596,0.00003531638,0.00000352971,0.0001048806,0.001045285,0.000002830927,0.0007879433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3415788,"threshold_uncertainty_score":0.6871808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}