{"id":"W3194012936","doi":"10.3138/jmvfh-2021-0043","title":"Development of design principles for a Veterans’ digital health platform","year":2021,"lang":"en","type":"article","venue":"Journal of Military Veteran and Family Health","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Computer science; Psychology; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004214317,0.0008340513,0.0003502466,0.0009446024,0.001015422,0.004134755,0.001897181,0.001779339,0.006823706],"category_scores_gemma":[0.007321541,0.001015346,0.0009081236,0.000318502,0.001213984,0.002797824,0.002788455,0.002053809,0.001990668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000819155,"about_ca_system_score_gemma":0.002614895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001779123,"about_ca_topic_score_gemma":0.002343514,"domain_scores_codex":[0.9970056,0.000845385,0.0002437282,0.0003280986,0.001266623,0.0003105641],"domain_scores_gemma":[0.9964629,0.001081463,0.0002364709,0.000661823,0.001328952,0.0002283307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003184336,0.000523407,0.005663018,0.00135228,0.0001584842,0.001447141,0.005680887,0.07238542,0.08492802,0.5456163,0.0113419,0.2705848],"study_design_scores_gemma":[0.0001672803,0.001209517,0.002828991,0.000997756,0.0002823984,0.001841399,0.002377202,0.4589888,0.09627211,0.1208337,0.3140313,0.0001694282],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01033329,0.00008523888,0.9760971,0.0004377217,0.00007861866,0.0007721817,0.00006408284,0.0009857016,0.011146],"genre_scores_gemma":[0.1524846,0.0001528597,0.8337736,0.0001927292,0.00002820187,0.0008143872,0.000160957,0.0003564111,0.01203632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006823706,"threshold_uncertainty_score":0.02282763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08195416451126304,"score_gpt":0.3353634400121565,"score_spread":0.2534092755008935,"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."}}