{"id":"W2026873664","doi":"10.1016/j.ejon.2010.04.002","title":"What do symptom scores mean: Observations on discrepancies when defining symptoms using words and numbers","year":2010,"lang":"en","type":"article","venue":"European Journal of Oncology Nursing","topic":"Cancer survivorship and care","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre","funders":"","keywords":"Medicine; Clinical psychology; Natural language processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009483384,0.0001725918,0.000388523,0.0002089116,0.0002034978,0.000139058,0.0001339015,0.00006605643,0.0000478916],"category_scores_gemma":[0.0001663757,0.0001452616,0.0001248962,0.0001484619,0.0003159199,0.0004392278,0.00003199672,0.0007769889,0.000005615749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316824,"about_ca_system_score_gemma":0.0002634892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001722971,"about_ca_topic_score_gemma":0.0001000555,"domain_scores_codex":[0.9985187,0.0002727607,0.0004692985,0.0001954561,0.0002799202,0.0002638311],"domain_scores_gemma":[0.9987653,0.0002096248,0.0003913109,0.0002060011,0.0001892057,0.0002385007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001461008,0.0004698845,0.1019862,0.00007379646,0.0003595209,0.001370987,0.10046,0.0001186952,0.02483186,0.004044529,0.001727881,0.7630956],"study_design_scores_gemma":[0.01819268,0.01483847,0.5527397,0.03266647,0.003306137,0.02483973,0.1565477,0.0009510507,0.002294722,0.002488194,0.1892889,0.00184634],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811577,0.001930943,0.000200253,0.003637742,0.004980843,0.00008670695,0.000001941782,0.00002410048,0.007979753],"genre_scores_gemma":[0.9936623,0.0002254371,0.004499649,0.0007416506,0.0006977931,4.613665e-7,0.000002861465,0.00004608902,0.0001237797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7612493,"threshold_uncertainty_score":0.5923597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03830500211409844,"score_gpt":0.3213641873090456,"score_spread":0.2830591851949472,"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."}}