{"id":"W7117781610","doi":"10.1177/13634593251407058","title":"Living with hard-to-heal wounds: A global health challenge explored through analytic sketches","year":2025,"lang":"en","type":"article","venue":"Health An Interdisciplinary Journal for the Social Study of Health Illness and Medicine","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Lakehead University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychosocial; Health care; Distress; Grey literature; Participant observation; Photo elicitation; Public health; Visual research; Global health","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02218146,0.0002956594,0.001384755,0.0002169519,0.02440892,0.00007827611,0.0006057812,0.00008874186,0.00002379968],"category_scores_gemma":[0.0006900619,0.0001897683,0.0001068296,0.001072106,0.0009283579,0.0003127413,0.0003154551,0.000638132,5.140479e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453758,"about_ca_system_score_gemma":0.004473866,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01430824,"about_ca_topic_score_gemma":0.04106637,"domain_scores_codex":[0.9910288,0.004318649,0.001468588,0.0005063436,0.001189526,0.001488091],"domain_scores_gemma":[0.9960436,0.001242588,0.0009102711,0.0002790349,0.0004162533,0.001108307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007104931,0.001003993,0.003843368,0.0005700089,0.000182161,0.000002921393,0.7426464,0.00001180433,3.697752e-7,0.006665686,0.00374058,0.2406222],"study_design_scores_gemma":[0.00198364,0.01633696,0.0703977,0.001418917,0.00005398769,0.000006686228,0.8950476,0.00009058985,1.310612e-7,0.008863067,0.005627624,0.0001730696],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5586551,0.01284554,0.02507213,0.3956249,0.002088661,0.005165909,0.00003252316,0.00007245682,0.0004427019],"genre_scores_gemma":[0.9933725,0.001621254,0.0004066507,0.003256069,0.0009355064,0.0002642905,0.000001977806,0.00002360088,0.00011816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4347174,"threshold_uncertainty_score":0.9922556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4798477110563267,"score_gpt":0.6750660253303993,"score_spread":0.1952183142740726,"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."}}