{"id":"W4385697662","doi":"10.1097/01.hs9.0000977500.02308.e3","title":"PB2707: ESMO-MAGNITUDE OF CLINICAL BENEFIT SCALE FOR HAEMATOLOGICAL MALIGNANCIES (ESMO-MCBS:H) VERSION 1.0","year":2023,"lang":"en","type":"article","venue":"HemaSphere","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Clinical trial; Medical physics; Internal medicine; Oncology; Intensive care 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":[],"consensus_categories":[],"category_scores_codex":[0.0899049,0.00128621,0.002592254,0.005239376,0.0009803659,0.007548756,0.003054474,0.003777841,0.08352385],"category_scores_gemma":[0.3262348,0.001522117,0.003748811,0.006351326,0.00191646,0.005039386,0.006057396,0.005873864,0.04527565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004009014,"about_ca_system_score_gemma":0.01462309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002020005,"about_ca_topic_score_gemma":0.002368643,"domain_scores_codex":[0.9350391,0.03771067,0.01454725,0.001328051,0.010024,0.001351025],"domain_scores_gemma":[0.7076269,0.1974502,0.02201407,0.01281541,0.05443753,0.005655952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002471601,0.0002961828,0.007657303,0.008542742,0.0004169532,0.0001007534,0.0007166124,0.00142704,0.0003167875,0.01136036,0.839156,0.1275376],"study_design_scores_gemma":[0.003209934,0.0005693726,0.04204168,0.007277999,0.0002764778,0.0002949247,0.0003437512,0.001889453,0.0008226166,0.02369448,0.9192987,0.0002805413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.02136255,0.01516658,0.09650654,0.04778099,0.00691411,0.09138634,0.506241,0.02162382,0.193018],"genre_scores_gemma":[0.09887445,0.01100976,0.2542573,0.01537795,0.002732658,0.2418047,0.317606,0.0116658,0.04667147],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0899049,"threshold_uncertainty_score":0.4754682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08775879929521231,"score_gpt":0.3152991802851121,"score_spread":0.2275403809898998,"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."}}