{"id":"W4225331425","doi":"10.3390/curroncol29050261","title":"Risk Stratification and Cancer Follow-Up: Towards More Personalized Post-Treatment Care in Canada","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer survivorship and care","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Horizon Health Network; University of Calgary; Princess Margaret Cancer Centre; Nova Scotia Health Authority; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Quality of life (healthcare); Cancer; Personalized medicine; Best practice; Randomized controlled trial; MEDLINE; Alternative medicine; Precision medicine; Cancer treatment; Family medicine; Intensive care medicine; Nursing; Bioinformatics; Surgery; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01111028,0.0003215699,0.0006502229,0.00191486,0.009325475,0.005860544,0.003031183,0.001413098,0.004860973],"category_scores_gemma":[0.04174886,0.0004091489,0.000855959,0.004758918,0.00334193,0.002900848,0.006230152,0.004878706,0.0002435088],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1832334,"about_ca_system_score_gemma":0.4872125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929695,"about_ca_topic_score_gemma":0.996147,"domain_scores_codex":[0.9899303,0.003381026,0.0004697152,0.0006385209,0.003018912,0.00256157],"domain_scores_gemma":[0.9674538,0.004952526,0.002047993,0.0009251513,0.009601684,0.01501891],"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":[0.0003273063,0.0005378101,0.1921981,0.001645214,0.000226019,0.0005668331,0.02437929,0.004248197,0.0004097862,0.07856242,0.1052356,0.5916635],"study_design_scores_gemma":[0.0004120219,0.0004852662,0.4849103,0.008666623,0.0005788246,0.0004897826,0.05030542,0.01183664,0.001351214,0.05563862,0.3847168,0.0006085801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.170866,0.02952816,0.01383037,0.7157262,0.001811286,0.0009605248,0.001938634,0.0002919644,0.06504681],"genre_scores_gemma":[0.8992215,0.02603027,0.02554496,0.03697491,0.0003852509,0.0004807875,0.001107161,0.0001342483,0.01012084],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1832334,"threshold_uncertainty_score":0.9473335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05012341127346753,"score_gpt":0.368375271258878,"score_spread":0.3182518599854104,"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."}}