{"id":"W2730188900","doi":"10.1093/geroni/igx004.2606","title":"SURVEILLANCE TECHNOLOGIES IN LONG-TERM CARE: A BLIND SPOT FOR GERONTOLOGISTS?","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Dental Education, Practice, Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Long-term care; Public relations; Variety (cybernetics); Assisted living; Business; Health care; Internet privacy; Political science; Medicine; Nursing; Law; 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":[0.0230607,0.0006239432,0.001126593,0.001691206,0.01384151,0.01405858,0.002188943,0.01714532,0.007586513],"category_scores_gemma":[0.0524046,0.0006194717,0.001055215,0.001714429,0.0302498,0.02729749,0.01257143,0.02063557,0.002199766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008649508,"about_ca_system_score_gemma":0.02359281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0226586,"about_ca_topic_score_gemma":0.03818157,"domain_scores_codex":[0.9842514,0.007914669,0.0008529548,0.001033992,0.003791563,0.002155424],"domain_scores_gemma":[0.9535569,0.02407866,0.003221827,0.002825631,0.008021682,0.008295345],"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":[0.0000862324,0.0002179209,0.01114927,0.001393565,0.0000479067,0.001226488,0.1439824,0.0001012101,0.0005923499,0.08850753,0.3887037,0.3639914],"study_design_scores_gemma":[0.00002574656,0.0002303324,0.005765104,0.006273321,0.00004729957,0.002055306,0.216038,0.0001277863,0.0003821138,0.05905177,0.7098747,0.0001284437],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005364704,0.03033284,0.000920913,0.9523769,0.004430264,0.00001018018,0.00002002674,0.00004937539,0.006494704],"genre_scores_gemma":[0.2375914,0.1365347,0.00737468,0.5923629,0.01026012,0.0001730468,0.00008562544,0.0001704271,0.01544718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0230607,"threshold_uncertainty_score":0.1219581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1600627355449638,"score_gpt":0.5408290343454732,"score_spread":0.3807662988005095,"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."}}