{"id":"W1965262685","doi":"10.1503/cmaj.111419","title":"Lost in transition","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Toll; Perspective (graphical); Cancer survivor; Transition (genetics); Medicine; Cancer; Gerontology; Psychiatry; Computer science; Artificial intelligence; Immunology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002139811,0.0004000175,0.0006254688,0.0007553754,0.008254155,0.006150199,0.00145496,0.002110219,0.03881758],"category_scores_gemma":[0.01020706,0.0002245041,0.000797754,0.000658049,0.003357472,0.006728717,0.009990538,0.008571616,0.009815859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003358141,"about_ca_system_score_gemma":0.008905754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006837788,"about_ca_topic_score_gemma":0.01251019,"domain_scores_codex":[0.9972561,0.0005744254,0.0001006966,0.0002151976,0.0005524427,0.001301201],"domain_scores_gemma":[0.9915434,0.0003795757,0.0003327682,0.0003359239,0.001134266,0.006274126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003207952,0.0006587788,0.02440217,0.0002879739,0.00008001251,0.006026037,0.03060849,0.0003981047,0.001053625,0.1250888,0.4725477,0.3385275],"study_design_scores_gemma":[0.00003773378,0.0002877395,0.01082151,0.0008948548,0.00003587859,0.005075446,0.05569617,0.0002820963,0.0003082167,0.04083505,0.88565,0.0000753457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1855991,0.01499329,0.01176502,0.3253079,0.02458916,0.0003756178,0.001613186,0.00119671,0.4345601],"genre_scores_gemma":[0.7891145,0.005715911,0.002853161,0.04087017,0.0009896791,0.0002220686,0.0009781565,0.0003046624,0.1589518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03881758,"threshold_uncertainty_score":0.1298578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02185571900079629,"score_gpt":0.26632386076954,"score_spread":0.2444681417687437,"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."}}