{"id":"W2981043356","doi":"10.2196/14544","title":"Development of a Core Set of Patient-Reported Outcomes for Population-Based Cancer Survivorship Research: Protocol for an Australian Consensus Study","year":2019,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Survivorship curve; Delphi method; Medicine; Population; Quality of life (healthcare); Cancer survivorship; Cancer survivor; Consistency (knowledge bases); Protocol (science); Family medicine; Cancer; Nursing; Alternative medicine; Computer science; Environmental health","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":[0.02600047,0.0002332707,0.0005994474,0.0009596967,0.0008077582,0.0001385835,0.001257021,0.0002859535,0.0002852863],"category_scores_gemma":[0.003911636,0.0002042806,0.0001456896,0.001623303,0.0006837493,0.0001762723,0.0002253228,0.0006191217,0.000006181752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005853108,"about_ca_system_score_gemma":0.005225447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01324396,"about_ca_topic_score_gemma":0.02356897,"domain_scores_codex":[0.98925,0.002609704,0.00137232,0.0007666867,0.00453316,0.001468142],"domain_scores_gemma":[0.9885341,0.003628777,0.0005124437,0.0009949913,0.005952445,0.0003772641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004771467,0.003371292,0.959267,0.002960746,0.00009722322,0.000004379517,0.01261975,0.00002550204,0.002785427,0.001790004,0.005316729,0.006990509],"study_design_scores_gemma":[0.02495258,0.02541895,0.2907781,0.006341143,0.00001211745,6.975795e-7,0.06891982,0.0005174493,0.04068693,0.009664929,0.5312262,0.001481042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.2333688,7.857857e-8,0.000009539598,0.0004039172,0.000009023091,0.765803,0.00009201772,0.00006464539,0.0002488976],"genre_scores_gemma":[0.1596194,9.457573e-9,0.00465257,0.000004850281,0.000043319,0.8344885,0.00002268195,0.00005062473,0.001118075],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.6684889,"threshold_uncertainty_score":0.9942483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8240947335767486,"score_gpt":0.7103865704682875,"score_spread":0.1137081631084611,"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."}}