{"id":"W2515380104","doi":"10.1002/hon.2339","title":"Training improves the interobserver agreement of the expert positron emission tomography review panel in primary mediastinal B‐cell lymphoma: interim analysis in the ongoing International Extranodal Lymphoma Study Group‐37 study","year":2016,"lang":"en","type":"review","venue":"Hematological Oncology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Cancer Research UK; National Cancer Institute; National Cancer Research Institute","keywords":"Medicine; Concordance; Positron emission tomography; Lymphoma; Nuclear medicine; Radiology; Radiation therapy; Interim; Clinical endpoint; Mediastinum; Clinical trial; Medical physics; Internal medicine","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.19677,0.0007069134,0.001630475,0.001069555,0.001059215,0.002266091,0.00189503,0.001872986,0.001282189],"category_scores_gemma":[0.2628562,0.001120029,0.003055715,0.001034742,0.0008913072,0.001576215,0.002127858,0.001679759,0.0007078599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009100231,"about_ca_system_score_gemma":0.001381919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001712789,"about_ca_topic_score_gemma":0.002150511,"domain_scores_codex":[0.7867473,0.176876,0.01268679,0.01026406,0.0111187,0.002307124],"domain_scores_gemma":[0.576581,0.271164,0.06798422,0.04715328,0.03279031,0.004327125],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05015656,0.001246585,0.8652378,0.0007248077,0.005245355,0.0002084512,0.003793216,0.003180822,0.002830819,0.0002286589,0.005279341,0.06186756],"study_design_scores_gemma":[0.001962162,0.008288772,0.9634576,0.0002443106,0.003380819,0.0003552726,0.000594473,0.01090103,0.004799459,0.0004082581,0.005449103,0.0001587314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757504,0.00348963,0.01228659,0.0008988265,0.0006484713,0.00137536,0.000877603,0.0002735672,0.004399496],"genre_scores_gemma":[0.9922566,0.0001340151,0.005137457,0.0003236722,0.0001501409,0.0005720643,0.0008011904,0.00006738974,0.0005574503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.80323,"threshold_uncertainty_score":0.9905256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.110996917102976,"score_gpt":0.3821411964883498,"score_spread":0.2711442793853738,"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."}}