{"id":"W7133032720","doi":"","title":"Economic consequences of cancer in adolescents and young adults","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Educational attainment; Young adult; Socioeconomic status; Cancer; Unemployment; Survivorship curve; Cancer registry; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009372325,0.0001299162,0.0003403868,0.0007761946,0.0005960975,0.0007619612,0.0002340829,0.000266024,0.001230855],"category_scores_gemma":[0.004740669,0.000141355,0.0007212661,0.001211761,0.0003018297,0.000449721,0.0008015499,0.0006277823,0.00008283866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641937,"about_ca_system_score_gemma":0.002107101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05814721,"about_ca_topic_score_gemma":0.1090148,"domain_scores_codex":[0.99943,0.0001632004,0.00006889654,0.00004441614,0.0001505506,0.0001428384],"domain_scores_gemma":[0.9988348,0.0002347356,0.0004551837,0.0000251076,0.0001951388,0.0002549694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001615448,0.00009492491,0.9345931,0.00111518,0.0004340271,0.0004964876,0.001237626,0.0002547705,0.00008330162,0.0009822536,0.003561715,0.05698496],"study_design_scores_gemma":[0.00001498994,0.0001099842,0.9897939,0.0009333402,0.0001505038,0.0002507831,0.002275221,0.00009436539,0.00005547402,0.0003385741,0.005974839,0.000008092429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470039,0.03955789,0.0001014223,0.003421984,0.0002055593,0.0000896836,0.003319804,0.000005241257,0.006294523],"genre_scores_gemma":[0.9784556,0.01953134,0.0001303813,0.0004359396,0.00005565174,0.00004142452,0.0009023556,0.000002394863,0.0004449497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05814721,"threshold_uncertainty_score":0.1156175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01910065242855525,"score_gpt":0.3647404779971373,"score_spread":0.345639825568582,"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."}}