{"id":"W7025648360","doi":"","title":"Yaşlı Bireylerde Kırılganlık ile Malnütrisyon İlişkisi","year":2021,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Significant difference; Population; Age groups; Ultrasonography","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":[0.002055296,0.001155385,0.001173259,0.00167,0.001041709,0.003002353,0.000977085,0.001577945,0.01863656],"category_scores_gemma":[0.004289972,0.0005216097,0.001471269,0.001549023,0.001244104,0.001908057,0.001411778,0.001925594,0.004681018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001262854,"about_ca_system_score_gemma":0.002459336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007339883,"about_ca_topic_score_gemma":0.006681376,"domain_scores_codex":[0.998585,0.0002782473,0.0001735844,0.0002833505,0.0005107873,0.0001690402],"domain_scores_gemma":[0.9974294,0.0006660171,0.0005625968,0.0001273645,0.001015642,0.0001988379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007822209,0.001459417,0.1201815,0.01140257,0.001010867,0.004673909,0.00648339,0.002040169,0.09077137,0.01405598,0.03287298,0.7072256],"study_design_scores_gemma":[0.0004035664,0.004168339,0.4052548,0.003781854,0.001857659,0.01331962,0.009946594,0.005771623,0.09510864,0.02119107,0.4385538,0.0006424388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6768713,0.09458739,0.06526203,0.0154835,0.003781509,0.001489467,0.007288567,0.001898529,0.1333377],"genre_scores_gemma":[0.8238769,0.03782671,0.06834141,0.002259229,0.0007336581,0.0009127475,0.004169029,0.0003766308,0.06150375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01863656,"threshold_uncertainty_score":0.0623455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897613312529815,"score_gpt":0.1890348668321258,"score_spread":0.1700587337068276,"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."}}