{"id":"W4415942490","doi":"10.1016/j.annonc.2025.08.3246","title":"2631P Unmet needs & disparities in kidney cancer (KC): International kidney cancer coalition (IKCC) global patient survey (GPS)","year":2025,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kidney Foundation of Canada; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Kidney cancer; Incidence (geometry); Cancer; Kidney disease; Cancer incidence; Healthcare system; Health care","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":[0.0006645363,0.0001728271,0.0003157613,0.001185689,0.0006506987,0.0007323379,0.0004400105,0.0005956565,0.009297254],"category_scores_gemma":[0.005791295,0.0002181241,0.0004601657,0.004773702,0.0001869215,0.000701296,0.001351162,0.0008119696,0.001200397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009351773,"about_ca_system_score_gemma":0.002979883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.124329,"about_ca_topic_score_gemma":0.1841726,"domain_scores_codex":[0.9993325,0.0001115608,0.00009192296,0.00006674406,0.0001738461,0.0002233908],"domain_scores_gemma":[0.9969578,0.0003897069,0.000993402,0.00008145735,0.0006794781,0.0008981762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005480312,0.00007675154,0.935371,0.0002365302,0.00006168301,0.00006324299,0.0003765147,0.00008038815,0.00007952862,0.000234097,0.05049901,0.01286647],"study_design_scores_gemma":[0.00002174587,0.00002790675,0.987288,0.00008669931,0.00003443117,0.00006540077,0.0005579049,0.00006458171,0.00003723003,0.00006355004,0.01174654,0.000005947541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6109003,0.001937265,0.0004150106,0.01451623,0.0004240707,0.0003142759,0.3325099,0.0001540735,0.03882873],"genre_scores_gemma":[0.8956609,0.001978429,0.0008793332,0.004454332,0.0003234837,0.0005934566,0.08676521,0.0000464875,0.009298231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.124329,"threshold_uncertainty_score":0.2472107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09275938904004867,"score_gpt":0.417859287127138,"score_spread":0.3250998980870893,"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."}}