{"id":"W2947312366","doi":"10.14279/depositonce-7574","title":"PET/PET-CT Evidenz zum Bedarf und zur Planung in Deutschland und Österreich: Update 2018","year":2019,"lang":"de","type":"book","venue":"DepositOnce","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007027833,0.0009867598,0.001552201,0.0003498581,0.0002472594,0.0001809396,0.001131203,0.0002140245,0.0002801215],"category_scores_gemma":[0.0001639128,0.0009288887,0.0003248587,0.0004186301,0.0004480669,0.0002462288,0.0005153426,0.002428564,0.003346611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007173302,"about_ca_system_score_gemma":0.00101438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008860518,"about_ca_topic_score_gemma":0.0002745495,"domain_scores_codex":[0.9945254,0.0002131949,0.00148787,0.001522025,0.001080591,0.00117087],"domain_scores_gemma":[0.9959623,0.0006092552,0.0006608354,0.001937393,0.0001364941,0.000693724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007832787,0.001412397,0.05070864,0.006999494,0.002529266,0.04161694,0.0004578057,0.00002594936,0.005731188,0.01862365,0.8570399,0.01407152],"study_design_scores_gemma":[0.002292273,0.0003078954,0.001702471,0.01156789,0.002454977,0.001868803,0.00004524201,0.00368884,0.00254351,0.001021461,0.9710509,0.001455767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1214925,0.3456923,0.03668759,0.06413133,0.01771576,0.0275183,0.003487173,0.00362735,0.3796477],"genre_scores_gemma":[0.4723801,0.05255073,0.06083337,0.02115585,0.01242388,0.001416564,0.01124387,0.001469518,0.3665261],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3508876,"threshold_uncertainty_score":0.9998729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536113854135892,"score_gpt":0.3339920159564793,"score_spread":0.3086308774151204,"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."}}