{"id":"W2801388412","doi":"10.1177/1049909118775660","title":"The Optimal Cutoff Point for Expressing Revised Edmonton Symptom Assessment System Scores as Binary Data Indicating the Presence or Absence of Symptoms","year":2018,"lang":"en","type":"article","venue":"American Journal of Hospice and Palliative Medicine®","topic":"Cancer survivorship and care","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Cutoff; Binary number; Clinical psychology; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00775192,0.0006275731,0.001090685,0.002004122,0.0004044154,0.001333693,0.0005500079,0.001056306,0.00104502],"category_scores_gemma":[0.02861507,0.0002224798,0.000723091,0.001304829,0.0006425936,0.0007966036,0.0006943534,0.0008742869,0.000609817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006327388,"about_ca_system_score_gemma":0.0009095173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035168,"about_ca_topic_score_gemma":0.0009329493,"domain_scores_codex":[0.9953811,0.002184432,0.0007505738,0.0004169788,0.0008975301,0.0003693929],"domain_scores_gemma":[0.9858477,0.007334862,0.003619664,0.000452902,0.002159432,0.0005853781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006784038,0.0001180966,0.974723,0.000115729,0.0000975557,0.0002886717,0.0001676684,0.001101347,0.001308896,0.0002693905,0.001085745,0.02004541],"study_design_scores_gemma":[0.0001367332,0.001208648,0.9789839,0.0003765182,0.0001777886,0.002710393,0.0006418272,0.00911155,0.002622128,0.002030566,0.001940316,0.00005957553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810259,0.003963375,0.0102322,0.0007215162,0.0001311721,0.0001262199,0.0007452265,0.0001015522,0.00295293],"genre_scores_gemma":[0.9888514,0.0003517446,0.009774994,0.000112881,0.00004053742,0.00009893039,0.0006597803,0.000009584396,0.0001001393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00775192,"threshold_uncertainty_score":0.04099661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03613688996481275,"score_gpt":0.3728173317984902,"score_spread":0.3366804418336775,"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."}}