{"id":"W4413137999","doi":"10.2196/59276","title":"Development of a Knowledge Base for an Integrated Older Adult Care Model (SMART System) Based on an Intervention Mapping Framework: Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Nursing","topic":"Nursing Diagnosis and Documentation","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Intervention (counseling); Knowledge base; Base (topology); Computer science; Knowledge management; Process management; Medicine; Engineering; Nursing; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06765399,0.0008381655,0.001492192,0.004304596,0.002506689,0.004048408,0.002734002,0.001457191,0.004181247],"category_scores_gemma":[0.05125165,0.0008827809,0.001791763,0.002993606,0.001773263,0.004247472,0.004405152,0.001528713,0.0003005384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01064009,"about_ca_system_score_gemma":0.02281978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003813599,"about_ca_topic_score_gemma":0.006640115,"domain_scores_codex":[0.9722004,0.02142625,0.002049173,0.00149345,0.002185329,0.0006453579],"domain_scores_gemma":[0.9493589,0.04074202,0.002406571,0.002435089,0.004418578,0.0006388855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001318907,0.01183035,0.03025501,0.02111551,0.0006232116,0.0008168375,0.1955951,0.006008224,0.00354381,0.05421839,0.002229679,0.6724451],"study_design_scores_gemma":[0.007557553,0.03469525,0.07531147,0.05742008,0.007036585,0.001132671,0.5003324,0.1058226,0.03159117,0.08291266,0.0953737,0.0008138298],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.579231,0.00182931,0.2622345,0.001154041,0.00008143365,0.1438071,0.001113271,0.000201349,0.01034817],"genre_scores_gemma":[0.44199,0.0006567583,0.4655065,0.000339461,0.0000131815,0.09039471,0.0004098944,0.00002861266,0.0006609511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06765399,"threshold_uncertainty_score":0.3577928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04203613418561995,"score_gpt":0.4387017574423458,"score_spread":0.3966656232567258,"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."}}