{"id":"W2409089748","doi":"10.2196/cancer.5456","title":"eHealth for Breast Cancer Survivors: Use, Feasibility and Impact of an Interactive Portal","year":2016,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Cancer survivorship and care","field":"Medicine","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"KWF Kankerbestrijding","keywords":"eHealth; Breast cancer; Patient portal; Medicine; Cancer; Computer science; Internal medicine; Health care; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001661942,0.0001220977,0.0001794647,0.0003740939,0.0002285561,0.0004986086,0.000183666,0.0002174078,0.005251832],"category_scores_gemma":[0.004821405,0.00006114643,0.0003436502,0.0002859764,0.0001279061,0.0004654963,0.0006777469,0.0002054483,0.0003610876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002288641,"about_ca_system_score_gemma":0.000426294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080528,"about_ca_topic_score_gemma":0.001793891,"domain_scores_codex":[0.9991578,0.0004594823,0.00007241701,0.00004133066,0.0001840187,0.00008497226],"domain_scores_gemma":[0.9982799,0.0009033611,0.0003794309,0.00005102576,0.0001423547,0.0002439848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002624143,0.002746355,0.6400487,0.0007032464,0.000119736,0.0001969904,0.001947423,0.0001144432,0.002222591,0.00004839825,0.001563811,0.3476641],"study_design_scores_gemma":[0.0005211003,0.01269037,0.9723546,0.0003321751,0.0002858465,0.0009418465,0.00409926,0.000985624,0.002162055,0.00007059761,0.005521968,0.00003445696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974625,0.0004331816,0.0001223247,0.0002078674,0.000007271937,0.00008042406,0.0002071567,0.00002733096,0.001452004],"genre_scores_gemma":[0.9981798,0.0003406166,0.0005936014,0.00008469324,0.00002240595,0.0001187198,0.0002206084,0.000003506773,0.00043612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005251832,"threshold_uncertainty_score":0.01756912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03984516972574272,"score_gpt":0.3980127565411035,"score_spread":0.3581675868153608,"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."}}