{"id":"W4313437508","doi":"10.33590/emjreprohealth/10311688","title":"Children After Cancer? Meeting Male Patients’ Fertility Needs During Cancer Care","year":2018,"lang":"en","type":"article","venue":"EMJ Reproductive Health","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Fertility; Survivorship curve; Psychosocial; Quality of life (healthcare); Fertility preservation; Vulnerability (computing); Cancer; Cancer survivor; Medicine; Gerontology; Depression (economics); Cancer survivorship; Psychology; Family medicine; Psychiatry; Nursing; Environmental health; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001525737,0.0001557796,0.0002549102,0.0002155177,0.003304422,0.001407925,0.000401852,0.001147282,0.003532028],"category_scores_gemma":[0.003699691,0.0001506503,0.0003606693,0.0002975749,0.001108384,0.001619944,0.001762516,0.001831639,0.0001910677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516771,"about_ca_system_score_gemma":0.002173327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003676295,"about_ca_topic_score_gemma":0.01669661,"domain_scores_codex":[0.9988432,0.0006391921,0.00003712021,0.0000337264,0.0001407963,0.0003059078],"domain_scores_gemma":[0.9987624,0.000356152,0.0002539894,0.00001890158,0.00008048964,0.0005281235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001545933,0.0004067681,0.1611464,0.001466001,0.0001143519,0.02284491,0.4419865,0.0003751664,0.002239711,0.01685349,0.1115893,0.2408228],"study_design_scores_gemma":[0.00003991364,0.0006097268,0.08549774,0.001057217,0.00007410082,0.02997697,0.5493672,0.0001580139,0.0006643289,0.002574123,0.3298913,0.00008932701],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7620504,0.03206296,0.0007030265,0.1541352,0.002184579,0.0001374574,0.0002083772,0.00004780591,0.04847001],"genre_scores_gemma":[0.9640549,0.01534681,0.0009588251,0.01405931,0.0006759606,0.00005442547,0.00006509107,0.00001282359,0.004771851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003676295,"threshold_uncertainty_score":0.01181579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064785041440798,"score_gpt":0.3378126614112285,"score_spread":0.3171648109968205,"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."}}