{"id":"W2063908296","doi":"10.3747/co.22.2210","title":"Use of Bevacizumab as a First-Line Treatment for Metastatic Breast Cancer","year":2015,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Treatment and Pharmacology","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Celgene; AstraZeneca","keywords":"Bevacizumab; Medicine; Metastatic breast cancer; Oncology; Breast cancer; Chemotherapy; Disease; Internal medicine; Clinical trial; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008520624,0.0001889479,0.0006172741,0.0001140157,0.00003400285,0.000004261334,0.00005204115,0.00006459158,0.0004459588],"category_scores_gemma":[0.00004977859,0.0001407184,0.0001663862,0.0001258517,0.0001001145,0.00005795462,0.00002530252,0.00007411624,0.00002728035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061895,"about_ca_system_score_gemma":0.0009850799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000528294,"about_ca_topic_score_gemma":0.0006835721,"domain_scores_codex":[0.9989868,0.00005429109,0.0003116954,0.0002536957,0.0001186652,0.0002748693],"domain_scores_gemma":[0.9988725,0.0002511776,0.0001622967,0.0001747864,0.000286592,0.0002526574],"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":[0.02053806,0.02125681,0.05171098,0.0005818049,0.002329723,0.0001259398,0.00345705,0.0002428524,0.0008209281,0.0006162215,0.08183049,0.8164892],"study_design_scores_gemma":[0.02570291,0.01287723,0.0027063,0.00007824007,0.002496299,0.0002817422,0.00009528601,0.0007842829,0.001491455,0.0003078794,0.9530181,0.000160252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768416,0.007225194,0.0002005962,0.00946493,0.002785547,0.002178344,0.0008392947,0.00005658414,0.0004078914],"genre_scores_gemma":[0.9906052,0.003303604,0.0009232643,0.0003535927,0.0007328171,0.001592465,0.0003243108,0.00003996542,0.002124749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8711876,"threshold_uncertainty_score":0.5738329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4695800343564018,"score_gpt":0.5319005441505176,"score_spread":0.0623205097941158,"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."}}