{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001499016,0.0001837879,0.0004048799,0.00007369126,0.00003799422,0.00001415311,0.00006275193,0.00009347779,0.0008668648],"category_scores_gemma":[0.00002726491,0.0001129472,0.0001699718,0.0001326705,0.0001165497,0.000368766,0.00002621937,0.00009583932,7.588122e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005385967,"about_ca_system_score_gemma":0.000616883,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06223758,"about_ca_topic_score_gemma":0.1458567,"domain_scores_codex":[0.9988349,0.00004453749,0.0002562542,0.0003832013,0.0001853779,0.000295715],"domain_scores_gemma":[0.9987497,0.0001196174,0.0001656385,0.0003222637,0.0003706474,0.000272079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004060096,0.0001652487,0.8832366,0.0002506987,0.0001554522,0.000003630876,0.00114705,0.000001098365,0.003049416,0.00002611677,0.0007992716,0.1071053],"study_design_scores_gemma":[0.002038724,0.0005842765,0.994437,0.0003922383,0.0000651403,0.00002842015,0.0002728682,0.00002543358,0.0007280028,0.00005926504,0.001208845,0.0001598232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933262,0.0005336064,0.00005513359,0.0007032342,0.000374225,0.0009524258,0.003913788,0.00003488182,0.0001065008],"genre_scores_gemma":[0.9981897,0.0003523032,0.000024436,0.0001922469,0.0003765755,0.0003871383,0.00001628104,0.0000330918,0.0004282039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1112004,"threshold_uncertainty_score":0.9491562,"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."}}