{"id":"W7034355475","doi":"","title":"A Survey of Patient Experience in CML: American and Canadian Perspectives","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Icon; Patient experience; Quality of life (healthcare); Trustworthiness; Patient satisfaction; Myeloid leukemia","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":[0.00291095,0.0002465533,0.0003399956,0.002789892,0.003664896,0.002278141,0.001181608,0.0008270225,0.004568241],"category_scores_gemma":[0.009432515,0.0002590177,0.000447061,0.01204421,0.001469427,0.001322735,0.002178698,0.001207037,0.0004149988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02231702,"about_ca_system_score_gemma":0.03091708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9678282,"about_ca_topic_score_gemma":0.97037,"domain_scores_codex":[0.9958792,0.00045389,0.0003096389,0.0002475644,0.002034286,0.001075551],"domain_scores_gemma":[0.9886979,0.0009429618,0.001940109,0.0001416761,0.004805316,0.003472069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001759802,0.00008469956,0.902659,0.0003155866,0.00005339423,0.0003127906,0.01997352,0.0001141031,0.0001686527,0.001288649,0.03282034,0.04203326],"study_design_scores_gemma":[0.00001397707,0.00005111818,0.9483536,0.0003321374,0.00002003725,0.0002957947,0.0274131,0.0001353843,0.00003269991,0.0001217844,0.02317822,0.00005212426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8960456,0.01515627,0.000200207,0.03185042,0.0001755088,0.0001273058,0.01585275,0.00004176172,0.04055015],"genre_scores_gemma":[0.9799244,0.0127203,0.000215066,0.002978387,0.00006914145,0.00004526526,0.002773086,0.00001575624,0.001258576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03217185,"threshold_uncertainty_score":0.1619221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2690219249938531,"score_gpt":0.5329075547595666,"score_spread":0.2638856297657136,"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."}}