{"id":"W4327947033","doi":"10.3390/curroncol30030264","title":"Is It Possible to Notice the Unmet Non-Medical Needs among Cancer Patients? Application of the Needs Evaluation Questionnaire in Men with Lung Cancer","year":2023,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer survivorship and care","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Narodowym Centrum Nauki; Narodowe Centrum Nauki","keywords":"Medicine; Lung cancer; Residence; Notice; Quality of life (healthcare); Marital status; Cancer; Disease; Family medicine; Needs assessment; Gerontology; Internal medicine; Demography; Nursing; Environmental health; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007848308,0.0001513584,0.0003066419,0.0007255839,0.0003275306,0.0003152872,0.0001563748,0.0003293664,0.001488665],"category_scores_gemma":[0.003719768,0.0001288639,0.0003592377,0.0004582345,0.0001639964,0.0004010784,0.0004215273,0.0003758013,0.0001380338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00026673,"about_ca_system_score_gemma":0.0002763633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551307,"about_ca_topic_score_gemma":0.002429482,"domain_scores_codex":[0.9995419,0.0002084665,0.0000506065,0.00003310062,0.00008177565,0.00008419553],"domain_scores_gemma":[0.9987277,0.0003501641,0.0005020325,0.00002049415,0.0001513838,0.0002480927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002311613,0.0001968131,0.9758562,0.0001402019,0.000057673,0.0003224115,0.00435742,0.00007096505,0.0006112502,0.00004511729,0.0006719768,0.01743889],"study_design_scores_gemma":[0.0000136104,0.0004002265,0.9909077,0.00003966891,0.00002235349,0.0005220403,0.006807427,0.0001968957,0.0001408173,0.00004288733,0.0008952248,0.00001107348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987075,0.0003305396,0.00005503616,0.0002573693,0.000009929905,0.00002806873,0.0001055853,0.000001868664,0.0005040908],"genre_scores_gemma":[0.9993315,0.0001839295,0.0001345287,0.00006496339,0.00000634945,0.00002688402,0.00007725645,6.135951e-7,0.0001741075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001551307,"threshold_uncertainty_score":0.004980028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04614659340413483,"score_gpt":0.4191640738934324,"score_spread":0.3730174804892975,"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."}}