{"id":"W2619703068","doi":"10.21037/jxym.2017.05.02","title":"Impact on quality of life of different treatments for localised prostate cancer: insights from the PROTECT trial","year":2017,"lang":"en","type":"article","venue":"Journal of Xiangya Medicine","topic":"Prostate Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Prostate cancer; Quality of life (healthcare); Quality (philosophy); Medicine; Cancer; Oncology; Internal medicine; Nursing; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00855757,0.0008862933,0.002280431,0.000344032,0.0004083073,0.001437932,0.0006056109,0.0014296,0.005795835],"category_scores_gemma":[0.01176885,0.0002063758,0.004520966,0.0009041068,0.000948346,0.001222411,0.001453517,0.003739875,0.0007883696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007441786,"about_ca_system_score_gemma":0.0008755035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005205785,"about_ca_topic_score_gemma":0.001056952,"domain_scores_codex":[0.995177,0.003482703,0.0002746718,0.0002679439,0.000469539,0.0003280942],"domain_scores_gemma":[0.9934897,0.003658518,0.001503782,0.0003540918,0.0002448068,0.00074909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.7388479,0.004783993,0.04438229,0.006415457,0.02668629,0.0002815778,0.0003908508,0.003126693,0.0008776201,0.00381639,0.01932627,0.1510648],"study_design_scores_gemma":[0.4960392,0.1512736,0.2232372,0.005438217,0.04742252,0.001095209,0.001033473,0.002890644,0.001427003,0.02023777,0.04953443,0.000370797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8198178,0.1219921,0.001420094,0.01515883,0.001270625,0.001374189,0.01397809,0.00007425814,0.02491397],"genre_scores_gemma":[0.9616445,0.01964916,0.001076211,0.00512479,0.00148223,0.001914987,0.007130683,0.00004360878,0.001933767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00855757,"threshold_uncertainty_score":0.04525733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08351804563271006,"score_gpt":0.4074559334424885,"score_spread":0.3239378878097784,"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."}}