{"id":"W4310490693","doi":"10.1093/hsw/hlac035","title":"Design Thinking for Health Disparities and Interdisciplinary Knowledge Translation: An LGBTQ+ Youth Health Literacy Project","year":2022,"lang":"en","type":"article","venue":"Health & Social Work","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Northern British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Health equity; Health literacy; Literacy; Sociology; Knowledge translation; Psychology; Gerontology; Pedagogy; Medicine; Nursing; Public health; Health care; Political science; Computer science; Knowledge management","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.03734447,0.0009601813,0.0004853788,0.001695386,0.009263242,0.004333915,0.002194683,0.002405736,0.004841401],"category_scores_gemma":[0.02054035,0.0006865534,0.0008353819,0.0009905088,0.007638063,0.002296015,0.0126877,0.003165416,0.0007714182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00606356,"about_ca_system_score_gemma":0.02129409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006495842,"about_ca_topic_score_gemma":0.01027105,"domain_scores_codex":[0.9778498,0.0184433,0.0004283458,0.0005733097,0.001131783,0.001573428],"domain_scores_gemma":[0.9876479,0.006334632,0.0005019632,0.0007642923,0.001348819,0.003402494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005410697,0.01763827,0.01756473,0.000944834,0.00007170271,0.002326735,0.6296952,0.001918298,0.006006146,0.02857682,0.01204874,0.2826674],"study_design_scores_gemma":[0.001386507,0.007594747,0.01744805,0.001070993,0.0001567819,0.001547946,0.7358145,0.007336436,0.01269987,0.05560191,0.1591848,0.0001575437],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327316,0.0002484472,0.03067082,0.01138686,0.0001167504,0.005741385,0.0001801654,0.0002806734,0.01864333],"genre_scores_gemma":[0.8200908,0.0006198205,0.1543963,0.003122638,0.00003729059,0.0105052,0.0002777134,0.0001991049,0.01075111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03734447,"threshold_uncertainty_score":0.1974988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1586038933611682,"score_gpt":0.4378748298063518,"score_spread":0.2792709364451836,"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."}}