{"id":"W4248523159","doi":"10.1093/geront/gnv251.03","title":"ENHANCING RESIDENT CARE IN NOVA SCOTIA: INNOVATIVE MAPPING OF ADVICE NETWORKS IN LONG TERM CARE","year":2015,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Interior Health; University of Alberta; Mount Saint Vincent University","funders":"","keywords":"Nova scotia; Nova (rocket); Term (time); Advice (programming); Business; Geography; Computer science; Engineering; Physics; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001433432,0.0003269173,0.0001798449,0.003887363,0.002482322,0.002927606,0.0008521305,0.0003716932,0.001916382],"category_scores_gemma":[0.005954122,0.0001751607,0.0002763033,0.004359053,0.0008232551,0.001075938,0.002413217,0.0004058635,0.000203418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008051545,"about_ca_system_score_gemma":0.01140169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6979364,"about_ca_topic_score_gemma":0.8525057,"domain_scores_codex":[0.9992866,0.0003563194,0.00003087596,0.00008095479,0.0001222403,0.0001231179],"domain_scores_gemma":[0.996689,0.001458645,0.0004436956,0.0002064059,0.0009161683,0.0002861296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002078879,0.0001727761,0.4099405,0.001501594,0.0001005516,0.002816563,0.1790181,0.008482898,0.004418863,0.01229802,0.01868623,0.3623562],"study_design_scores_gemma":[0.00003764427,0.0001481815,0.5253389,0.00151548,0.00009773282,0.0005855112,0.3718834,0.02397466,0.001636195,0.008355033,0.06633794,0.00008932804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074239,0.002331188,0.02104616,0.006049405,0.0001374304,0.0008060567,0.003090373,0.0002270868,0.05888847],"genre_scores_gemma":[0.9581212,0.00178723,0.03226195,0.0002237676,0.00002254249,0.0002814794,0.0009517353,0.00003002724,0.006320078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3020636,"threshold_uncertainty_score":0.607685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05624809996440965,"score_gpt":0.3701570825556633,"score_spread":0.3139089825912536,"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."}}