{"id":"W2889747517","doi":"10.2196/11717","title":"Digital Solutions for Cancer Survivorship Care","year":2018,"lang":"en","type":"article","venue":"Iproceedings","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Survivorship curve; Cancer survivorship; Receipt; Cancer; Cancer survivor; Health care; Medicine; Family medicine; Gerontology; Psychology; Nursing; Oncology; World Wide Web; Internal medicine; Computer science; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007964657,0.0001357871,0.0001889806,0.00007452611,0.0002485174,0.0000711972,0.00009044437,0.00009490048,0.0001552102],"category_scores_gemma":[0.00009372077,0.0001240404,0.0001280178,0.0002345069,0.0001278646,0.0001831998,0.00004281594,0.00009326438,0.00004860357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000138096,"about_ca_system_score_gemma":0.0001251049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007626722,"about_ca_topic_score_gemma":0.002717252,"domain_scores_codex":[0.9989604,0.000001517756,0.0001427227,0.0002794528,0.0001912098,0.0004247171],"domain_scores_gemma":[0.9988745,0.00002723931,0.00004410419,0.0001172145,0.0007809057,0.0001560651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002111537,0.0002832195,0.364108,0.002747673,0.0004457704,0.00001111783,0.0716507,8.913556e-7,0.01239604,0.01894332,0.1335509,0.3937509],"study_design_scores_gemma":[0.001798992,0.0009659416,0.01268127,0.0003500026,0.0002319804,0.00003069191,0.01676787,0.0001059878,0.008653268,0.0007285969,0.9571937,0.0004916626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8709845,0.002095807,0.0007868469,0.003346162,0.002182679,0.0008254219,0.0003126371,0.0003738703,0.1190921],"genre_scores_gemma":[0.9924106,0.0000221153,0.00007432298,0.0006758131,0.002032443,0.0001693859,0.00003949574,0.00003615822,0.004539681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8236428,"threshold_uncertainty_score":0.5058219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03931589002601267,"score_gpt":0.3092765131492781,"score_spread":0.2699606231232654,"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."}}