{"id":"W7110816398","doi":"10.6084/m9.figshare.30828622","title":"Additional file 1 of Development and validation of a new comprehensive measurement tool for health insurance literacy","year":2025,"lang":"","type":"article","venue":"Open MIND","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Health insurance; Measure (data warehouse); Data collection; Government (linguistics); Health literacy","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":[0.004540252,0.0009989894,0.001080251,0.002696255,0.001706919,0.001703088,0.001851927,0.001422032,0.8173568],"category_scores_gemma":[0.08760035,0.0006838457,0.0008176129,0.00299212,0.0004628409,0.001811954,0.001434913,0.001407391,0.1128285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596129,"about_ca_system_score_gemma":0.003791254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01111714,"about_ca_topic_score_gemma":0.02223398,"domain_scores_codex":[0.9980855,0.0005958337,0.0004094132,0.0002946332,0.0004674219,0.0001472165],"domain_scores_gemma":[0.8970761,0.08363586,0.002874927,0.003017374,0.01234506,0.001050623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003647704,0.0004085947,0.004570382,0.001912864,0.0000313927,0.00005105991,0.0002464898,0.0002549047,0.00007660295,0.001016885,0.9666941,0.02437195],"study_design_scores_gemma":[0.01126608,0.001241127,0.1561988,0.008696097,0.0003875233,0.001281919,0.003145042,0.003615847,0.002214411,0.0255402,0.785881,0.0005320011],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001917788,0.00004186335,0.001859869,0.0003913264,0.0001179845,0.002079337,0.9884031,0.0003408327,0.004847798],"genre_scores_gemma":[0.03436333,0.0002779202,0.02621044,0.00203514,0.0002867088,0.05391446,0.8470207,0.00125679,0.03463453],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8173568,"threshold_uncertainty_score":0.2605183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1558323644115922,"score_gpt":0.4594619357921571,"score_spread":0.3036295713805649,"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."}}