{"id":"W2997745315","doi":"10.3747/co.26.4845","title":"Multiplicity and the Marginal Benefits of Bevacizumab in Malignant Solid Tumours","year":2019,"lang":"en","type":"review","venue":"Current Oncology","topic":"Colorectal Cancer Treatments and Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Bevacizumab; Clinical trial; Portfolio; Medical physics; Intensive care medicine; Oncology; Bioinformatics; Internal medicine; Chemotherapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001908512,0.0004373595,0.001848293,0.001291955,0.0001547042,0.001250458,0.0006333636,0.0008311499,0.003971306],"category_scores_gemma":[0.003955265,0.0002065112,0.001091091,0.001257626,0.0006663752,0.001219047,0.0006422942,0.002102589,0.0004192767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007519829,"about_ca_system_score_gemma":0.001274247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619141,"about_ca_topic_score_gemma":0.005700356,"domain_scores_codex":[0.9994476,0.000212182,0.0001112141,0.00006799072,0.0001283307,0.00003271583],"domain_scores_gemma":[0.9977851,0.001723725,0.0003102874,0.0000258931,0.0001221884,0.00003279187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008503205,0.0000314492,0.0002811722,0.08790192,0.001236988,0.0001454407,0.00008726505,0.0002828906,0.0008923907,0.007564606,0.01573819,0.8849874],"study_design_scores_gemma":[0.0006679522,0.0008077105,0.004738268,0.06468288,0.005244687,0.001823508,0.000213283,0.0001909396,0.0009609003,0.01136106,0.9092528,0.00005598816],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001123185,0.9991893,0.00003346947,0.0002984203,0.00006337177,0.0000021421,0.000008884705,0.000001244623,0.0002907528],"genre_scores_gemma":[0.00319486,0.9956903,0.0001184495,0.0006205917,0.0001416922,0.00000604293,0.00001355083,0.000001344741,0.0002131007],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003971306,"threshold_uncertainty_score":0.01328534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1836786044807534,"score_gpt":0.4559834531434787,"score_spread":0.2723048486627253,"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."}}