{"id":"W6930745937","doi":"10.5281/zenodo.15367107","title":"YAPAY ZEKA İLE SAĞLIK ALANINDA DÖNÜŞÜM","year":2025,"lang":"tr","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Blood groups and transfusion","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Context (archaeology); Set (abstract data type); Identification (biology); Perspective (graphical); Feature (linguistics)","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":[0.0008054782,0.0009113729,0.0005924874,0.0007090012,0.001440258,0.001931036,0.0005317187,0.0009550151,0.04682126],"category_scores_gemma":[0.0009306463,0.0002551134,0.0004751946,0.0006222296,0.0006174598,0.001056305,0.001477702,0.001276957,0.02286726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010465,"about_ca_system_score_gemma":0.002163626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00277585,"about_ca_topic_score_gemma":0.003235431,"domain_scores_codex":[0.999149,0.0001253583,0.000048084,0.0001611667,0.0003270826,0.0001892759],"domain_scores_gemma":[0.9992499,0.0001148656,0.0000657219,0.00007327942,0.0003805813,0.000115554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003694785,0.0006152985,0.01060156,0.001324654,0.00007725684,0.003178542,0.00124342,0.001736679,0.06756867,0.05158474,0.2110458,0.6473287],"study_design_scores_gemma":[0.0001069771,0.0006376589,0.006251236,0.0001342882,0.00007219543,0.002627481,0.0009545916,0.001516258,0.05184898,0.00497439,0.9308127,0.00006315461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2185813,0.01688163,0.049129,0.02221003,0.008403839,0.0007368422,0.006842161,0.005315791,0.6718996],"genre_scores_gemma":[0.3499416,0.009148369,0.05675938,0.002026733,0.0007459332,0.0004023056,0.009123333,0.000926608,0.5709258],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04682126,"threshold_uncertainty_score":0.1566327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03737725318115674,"score_gpt":0.2675595550322213,"score_spread":0.2301823018510645,"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."}}