{"id":"W3081567540","doi":"10.1186/s41687-020-00242-5","title":"Using a digital patient powered research network to identify outcomes of importance to patients with multiple myeloma","year":2020,"lang":"en","type":"article","venue":"Journal of Patient-Reported Outcomes","topic":"Cancer survivorship and care","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Janssen Pharmaceuticals","keywords":"Active listening; Context (archaeology); Quality of life (healthcare); Social media; Cohort; Medicine; Social network (sociolinguistics); Psychology; Family medicine; Computer science; Geography; Pathology; Nursing; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003867671,0.0003437483,0.001223657,0.0004106901,0.0001187363,0.00007477571,0.0002552054,0.0001073366,0.00006910728],"category_scores_gemma":[0.002136531,0.0002424331,0.0004055036,0.001332781,0.00007085771,0.0003446759,0.000238884,0.0004962901,0.000008831344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000283227,"about_ca_system_score_gemma":0.0003724536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001923696,"about_ca_topic_score_gemma":0.000201517,"domain_scores_codex":[0.9943284,0.0000958376,0.001991933,0.0004148217,0.002484112,0.0006849277],"domain_scores_gemma":[0.9944434,0.0002565029,0.001354464,0.0005101927,0.002457183,0.0009783108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002187602,0.0003677472,0.9864157,0.00006699515,0.0006065633,0.0004336399,0.004421204,0.0004603095,0.0002839431,0.000003665696,0.001171311,0.003581252],"study_design_scores_gemma":[0.002878315,0.003811487,0.9879853,0.0003648715,0.0001798429,0.0000452969,0.002158298,0.00002020651,0.0005356756,0.00001745107,0.001727855,0.0002753864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961492,0.0001080841,0.0003275159,0.00130402,0.0008038266,0.001076616,0.00005664343,0.00002554359,0.0001485213],"genre_scores_gemma":[0.9961796,0.000002836931,0.001801765,0.001764052,0.0001295108,0.0000110135,0.00001876043,0.00006547302,0.00002695564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00344374,"threshold_uncertainty_score":0.9886136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06328931092475848,"score_gpt":0.3650768949096471,"score_spread":0.3017875839848886,"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."}}