{"id":"W1971592750","doi":"10.2967/jnmt.114.148650","title":"Evaluation of Available In Vitro 99mTc-RBC Labeling Techniques: A Canadian Perspective","year":2014,"lang":"en","type":"editorial","venue":"Journal of Nuclear Medicine Technology","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"","keywords":"Modalities; Perspective (graphical); Nuclear medicine; Competition (biology); Nuclear medicine imaging; Medical physics; Medicine; Computer science; Artificial intelligence; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.006061794,0.0003059511,0.001481253,0.00334431,0.00005421522,0.00000663305,0.0005847489,0.001455783,0.0006450112],"category_scores_gemma":[0.01501864,0.0002477765,0.0001500524,0.00101237,0.0006132138,0.00005761346,0.00007506118,0.003118965,0.00002694286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001978316,"about_ca_system_score_gemma":0.003114974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01222437,"about_ca_topic_score_gemma":0.0008823122,"domain_scores_codex":[0.9957241,0.0001544596,0.001351797,0.0003609425,0.001999608,0.0004091284],"domain_scores_gemma":[0.992348,0.0002596237,0.001240079,0.00066743,0.005173799,0.0003111394],"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":[0.00008579261,0.000112164,0.000009374814,0.00009855172,0.0001105528,0.00005994964,0.0001380207,2.6514e-7,0.01903413,0.0004090114,0.9746035,0.005338636],"study_design_scores_gemma":[0.002186808,0.001313319,0.000003572491,0.003243595,0.001205796,0.0002363214,0.0007277522,0.0006006582,0.001670338,0.007953003,0.9806689,0.0001899272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.007928836,0.01861972,0.000790599,0.3513608,0.495423,0.00720864,0.0001357105,0.001175298,0.1173573],"genre_scores_gemma":[0.1263986,0.007006135,0.09277672,0.002482594,0.7698504,0.0001732254,0.0001458836,0.0005295012,0.0006369917],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3488782,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779132128314733,"score_gpt":0.3481777302545824,"score_spread":0.3203864089714351,"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."}}