{"id":"W4399940991","doi":"10.2196/preprints.63324","title":"Improving Digital Cancer Care for Older Black Adults: Qualitative Study (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Qualitative research; Gerontology; Medicine; Psychology; Computer science; World Wide Web; Sociology; Social science","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":[0.009996356,0.0004908338,0.0008232567,0.001543238,0.01243773,0.002738209,0.001259835,0.001522108,0.005528586],"category_scores_gemma":[0.009989369,0.0005810482,0.0005093497,0.001876269,0.00451111,0.002854981,0.004395169,0.002312275,0.0005176062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009204663,"about_ca_system_score_gemma":0.01466385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04356185,"about_ca_topic_score_gemma":0.09462666,"domain_scores_codex":[0.9965215,0.001931999,0.0001672096,0.0002778321,0.0003145333,0.0007868336],"domain_scores_gemma":[0.9914153,0.004555081,0.0007339461,0.0002209684,0.001321387,0.001753278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002779691,0.00005716996,0.002581089,0.0003299088,0.000004028864,0.0004210756,0.9896888,0.0000151448,0.0005139367,0.000782935,0.001733528,0.003844582],"study_design_scores_gemma":[0.000004192932,0.00002874091,0.001369166,0.0003434181,0.000002932344,0.00009410946,0.9886952,0.00002022447,0.0001121263,0.0001297296,0.00919367,0.000006463575],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738193,0.002865214,0.002362194,0.008699133,0.0003004057,0.001571099,0.001122469,0.00002999263,0.009230228],"genre_scores_gemma":[0.9705333,0.004052317,0.003339163,0.007670058,0.00007792623,0.003178525,0.0004149068,0.00004263043,0.01069121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04356185,"threshold_uncertainty_score":0.08661658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03850739440152261,"score_gpt":0.4359085608494121,"score_spread":0.3974011664478895,"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."}}