{"id":"W7117161205","doi":"10.1016/j.apjon.2025.100839","title":"Development and preliminary validation of a PICC-related venous thrombosis risk prediction model for cancer patients: A systematic review and meta-analysis predominantly based on Chinese populations","year":2025,"lang":"en","type":"article","venue":"Asia-Pacific Journal of Oncology Nursing","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese Academy of Medical Sciences Initiative for Innovative Medicine; Chinese Academy of Medical Sciences","keywords":"Venous thrombosis; Cancer; Risk assessment; MEDLINE; Disease; Thrombosis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009988307,0.000181388,0.002148906,0.000574997,0.0001631922,0.00001199634,0.00005952447,0.0001065706,0.000008707763],"category_scores_gemma":[0.000307139,0.000127859,0.0003528368,0.0004439391,0.00006436811,0.0001050955,0.0000130949,0.0001477906,1.162367e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003911538,"about_ca_system_score_gemma":0.0002385648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007840405,"about_ca_topic_score_gemma":0.000006399144,"domain_scores_codex":[0.9979951,0.0001950992,0.00122369,0.0002099688,0.000230096,0.0001459961],"domain_scores_gemma":[0.9978682,0.0001906633,0.001273959,0.0001776142,0.0004188576,0.00007071975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003060788,0.04225393,0.06332619,0.2397998,0.5046374,0.00002201305,0.03760358,0.08515766,0.0002730017,0.001374871,0.006268338,0.0162224],"study_design_scores_gemma":[0.002666899,0.002762047,0.06951557,0.01085992,0.8571514,0.00001021522,0.0006331381,0.05574118,0.00007750005,0.0004180316,0.00001843287,0.0001457025],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8766261,0.05374605,0.04820457,0.01021525,0.000565476,0.009467554,0.0001921584,0.00004007341,0.0009427288],"genre_scores_gemma":[0.9904946,0.001477766,0.007592706,0.0001362487,0.000007901717,0.0001959267,0.00003386068,0.00001269857,0.0000482774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3525139,"threshold_uncertainty_score":0.5213937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04081861843586059,"score_gpt":0.3579055809372003,"score_spread":0.3170869625013397,"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."}}