{"id":"W2774651409","doi":"10.1186/s12913-017-2785-z","title":"Optimizing clinical and organizational practice in cancer survivor transitions between specialized oncology and primary care teams: a realist evaluation of multiple case studies","year":2017,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Cancer survivorship and care","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; École Nationale d'Administration Publique; Université de Montréal; Santé Montérégie; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Hôpital Charles-Le Moyne; Centre intégré de santé et de services sociaux de la Montérégie-Centre; Université de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Nursing research; Medicine; Health informatics; Survivorship curve; Health administration; Nursing; Documentation; Health care; Family medicine; Qualitative research; Cancer; Oncology; Public health; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.09088777,0.0009089928,0.0008676837,0.003988723,0.008312016,0.005368608,0.005132378,0.00221113,0.003037346],"category_scores_gemma":[0.1056782,0.00078563,0.001366063,0.003823773,0.005436067,0.003500934,0.00658598,0.001612534,0.0002690132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03390145,"about_ca_system_score_gemma":0.02513888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03041819,"about_ca_topic_score_gemma":0.07772309,"domain_scores_codex":[0.8968197,0.08827385,0.003354466,0.002206693,0.005555473,0.003789909],"domain_scores_gemma":[0.8425823,0.1155671,0.01138919,0.007583295,0.01803081,0.004847285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001787493,0.01148812,0.08622339,0.004065886,0.0003925323,0.005526802,0.6989446,0.006359866,0.001143958,0.007578865,0.004646001,0.1718425],"study_design_scores_gemma":[0.001404096,0.01021763,0.056508,0.003248645,0.000484301,0.001827473,0.8755726,0.008025797,0.00356269,0.003787891,0.03512385,0.0002370683],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819049,0.0009040043,0.005058577,0.001421207,0.0000496871,0.005539528,0.000245312,0.00003318582,0.004843614],"genre_scores_gemma":[0.9747935,0.001001701,0.01781662,0.0003252442,0.00003034631,0.004595431,0.0001684377,0.00002113553,0.00124762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09088777,"threshold_uncertainty_score":0.4806662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2592846759599399,"score_gpt":0.5748709711767884,"score_spread":0.3155862952168485,"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."}}