{"id":"W4240324506","doi":"10.1002/9780471420194.tnmm18","title":"Survivorship","year":2017,"lang":"en","type":"other","venue":"TNM Online","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Survivorship curve; Psychosocial; Cancer survivorship; Quality of life (healthcare); Scope (computer science); Cancer; Medicine; Gerontology; Cancer treatment; Psychology; Nursing; Psychotherapist","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002957719,0.0004229078,0.00104185,0.0002426126,0.00005873063,0.00002771711,0.0004039446,0.0005269999,0.02439342],"category_scores_gemma":[0.0005593203,0.0003913588,0.0002476641,0.00007467724,0.0001691918,0.00002557405,0.0001170895,0.000586357,0.00116361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006216829,"about_ca_system_score_gemma":0.0003225898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005542703,"about_ca_topic_score_gemma":0.02403391,"domain_scores_codex":[0.9980802,0.00007961775,0.0003098553,0.0005362736,0.0006115864,0.0003824561],"domain_scores_gemma":[0.9972759,0.00008675884,0.0004698104,0.001813445,0.00005726857,0.0002968133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004299312,0.0002470083,0.0006180173,0.0005222281,0.000206361,0.00008076036,0.00008286816,1.657427e-8,0.000005478003,0.00004971608,0.9931763,0.004968213],"study_design_scores_gemma":[0.001016507,0.0001138163,0.003177238,0.002542976,0.000168011,0.00003640912,0.00002510988,0.000003267967,0.00000986179,0.00004835925,0.9924837,0.0003747378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002421485,0.003261382,0.00003303302,0.005046356,0.00147066,0.0005932644,0.004555569,0.0007840469,0.9840136],"genre_scores_gemma":[0.0002461658,0.0005335257,0.001945509,0.002395074,0.006857077,0.00001494374,0.004006104,0.0008429171,0.9831587],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02322981,"threshold_uncertainty_score":0.9998538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06259420158127359,"score_gpt":0.3735235911978715,"score_spread":0.3109293896165979,"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."}}