{"id":"W3099027442","doi":"10.2196/18399","title":"Co-Design to Support the Development of Inclusive eHealth Tools for Caregivers of Functionally Dependent Older Persons: Social Justice Design","year":2020,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval","funders":"Fonds de Recherche du Québec - Santé","keywords":"eHealth; Context (archaeology); Christian ministry; Psychology; Economic Justice; Capability approach; Process (computing); Applied psychology; Medical education; Nursing; Knowledge management; Computer science; Medicine; Health care; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01490098,0.0001011653,0.0003483372,0.0002311384,0.0003675778,0.00004529031,0.001623981,0.0002710648,0.0006770148],"category_scores_gemma":[0.01349596,0.0000724293,0.0001180224,0.0004136627,0.0007598823,0.0001762559,0.0002346699,0.0009278521,0.00001272819],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004672622,"about_ca_system_score_gemma":0.007573937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001420991,"about_ca_topic_score_gemma":0.0003622982,"domain_scores_codex":[0.9931557,0.00109314,0.0007766762,0.0001968204,0.004306324,0.0004712918],"domain_scores_gemma":[0.9939538,0.003612236,0.0003664974,0.00009030272,0.001509464,0.0004677013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00204702,0.0003160395,0.0001640076,0.0002386532,0.0004154295,0.0000774679,0.4256477,0.0000313264,0.000987108,0.004206353,0.4829488,0.08292],"study_design_scores_gemma":[0.006864147,0.008440974,0.002483041,0.0009852714,0.00025973,0.00006047019,0.7601346,0.0005348498,0.03334315,0.001530436,0.1848792,0.0004841469],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07727846,0.0001834273,0.692238,0.2263638,0.0005691081,0.002175718,0.00002451423,0.00002845535,0.001138535],"genre_scores_gemma":[0.9920085,0.000052037,0.006305562,0.0007674016,0.0005224364,0.00003353813,0.000001486316,0.00001303489,0.0002960215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.91473,"threshold_uncertainty_score":0.9980522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.195870442817273,"score_gpt":0.4682387256843021,"score_spread":0.2723682828670291,"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."}}