{"id":"W4240552396","doi":"10.21203/rs.3.rs-91142/v1","title":"Scale-up and Sustainability of a Personalized End-of-Life Care Intervention: A Longitudinal Mixed-Methods Study","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Joseph’s Healthcare Hamilton; McMaster University","funders":"Canadian Intensive Care Foundation; Intensive Care Foundation; Greenwall Foundation","keywords":"Scale (ratio); Sustainability; Intervention (counseling); Longitudinal data; End-of-life care; Longitudinal study; Psychology; Medicine; Business; Computer science; Nursing; Geography; Data mining; Palliative care; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.04648732,0.0008777931,0.0009534078,0.001848227,0.003079475,0.00242808,0.001534042,0.001321644,0.002347464],"category_scores_gemma":[0.0375899,0.0009133035,0.001505905,0.001611266,0.001731608,0.002600661,0.002381156,0.001656311,0.000476748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003754595,"about_ca_system_score_gemma":0.007116282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006236496,"about_ca_topic_score_gemma":0.00962328,"domain_scores_codex":[0.9738597,0.01956332,0.001849834,0.001342573,0.001873519,0.001511125],"domain_scores_gemma":[0.9715804,0.01379754,0.005393999,0.002851335,0.004490286,0.001886317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01123068,0.08215547,0.5755355,0.002444259,0.001746673,0.001308309,0.1528423,0.001034167,0.003296078,0.003189814,0.004076256,0.1611405],"study_design_scores_gemma":[0.007720148,0.1451496,0.5434498,0.003323391,0.001543217,0.0008688919,0.2629481,0.006020143,0.006203508,0.004513983,0.0176918,0.0005674763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990798,0.0002635522,0.002295482,0.0002755917,0.00003241297,0.0054095,0.0002801124,0.00001507224,0.0006303831],"genre_scores_gemma":[0.9620603,0.0003759883,0.01080093,0.0007402971,0.00007502921,0.02456824,0.0004457311,0.00001456295,0.0009189888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04648732,"threshold_uncertainty_score":0.2458513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2289017634476163,"score_gpt":0.5720184331709369,"score_spread":0.3431166697233206,"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."}}