{"id":"W1901358473","doi":"10.3747/co.v0i0.348","title":"Survivorship Programs: Building Bridges Building Communities","year":2008,"lang":"en","type":"article","venue":"Current Oncology","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Survivorship curve; Medicine; Data science; Cancer; Computer science; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003303246,0.0003766512,0.0001818043,0.001262116,0.005422122,0.003109028,0.002413583,0.001598161,0.02812044],"category_scores_gemma":[0.006670628,0.0002483774,0.0003707695,0.000745766,0.001669507,0.003742566,0.009324762,0.001723016,0.002013879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001519223,"about_ca_system_score_gemma":0.01084868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477997,"about_ca_topic_score_gemma":0.01060603,"domain_scores_codex":[0.9983495,0.000918036,0.00003054519,0.0001239434,0.000227023,0.0003508651],"domain_scores_gemma":[0.9954824,0.0006658525,0.0002333676,0.0002636519,0.0003756929,0.002978947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001059807,0.003779587,0.01080445,0.000621357,0.00005329792,0.0004574136,0.01819024,0.001686229,0.001150832,0.08816265,0.1204551,0.7545329],"study_design_scores_gemma":[0.0003216484,0.002081344,0.02357767,0.002235174,0.0001668637,0.0004918588,0.09919082,0.004171021,0.001875626,0.1594732,0.7063476,0.00006722316],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3592095,0.00315549,0.0790641,0.1201209,0.002990661,0.002961282,0.0005194939,0.001834808,0.4301437],"genre_scores_gemma":[0.8758974,0.002178833,0.06496922,0.004417206,0.0003360909,0.001785206,0.0004730033,0.000153032,0.04978995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02812044,"threshold_uncertainty_score":0.09407222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2637968451280577,"score_gpt":0.4421083272587457,"score_spread":0.178311482130688,"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."}}