{"id":"W2163173158","doi":"10.1007/s10433-015-0333-4","title":"Information and communication technologies for informal carers and paid assistants: benefits from micro-, meso-, and macro-levels","year":2015,"lang":"en","type":"review","venue":"European Journal of Ageing","topic":"Intergenerational Family Dynamics and Caregiving","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Joint Research Centre; European Commission","keywords":"Information and Communications Technology; Sustainability; Macro; Business; Quality (philosophy); Quality of life (healthcare); Macro level; Nursing; Public relations; Medicine; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001615571,0.0005663346,0.0008863026,0.002771402,0.0004345296,0.001715287,0.0004521753,0.001275643,0.002089087],"category_scores_gemma":[0.003203886,0.0001758073,0.0007149993,0.002379363,0.0005403323,0.00169945,0.001240616,0.0008374538,0.0003017946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000680269,"about_ca_system_score_gemma":0.001889266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015763,"about_ca_topic_score_gemma":0.003689954,"domain_scores_codex":[0.9991615,0.0003659246,0.0001041346,0.00006670458,0.000237412,0.00006439398],"domain_scores_gemma":[0.9981093,0.001435783,0.0001650855,0.00002978546,0.0002090697,0.0000510405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006514398,0.0001015646,0.001375344,0.0484761,0.0002722427,0.0002604848,0.001193812,0.0001612604,0.0004388608,0.005148632,0.002885792,0.9396207],"study_design_scores_gemma":[0.00006440208,0.0006206908,0.03194055,0.1433938,0.002485513,0.00442571,0.009120153,0.0002625775,0.001458275,0.009585273,0.7965516,0.00009135966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001552553,0.996166,0.00008356984,0.000390341,0.00005635969,0.00001086896,0.00001203669,0.000001797769,0.001726426],"genre_scores_gemma":[0.01554787,0.9835387,0.0002858494,0.000179119,0.00007825048,0.00002831961,0.00001504203,0.000001189159,0.0003254752],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002771402,"threshold_uncertainty_score":0.008544028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04224493614908007,"score_gpt":0.3061460434689232,"score_spread":0.2639011073198431,"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."}}