{"id":"W3025061567","doi":"10.1155/2020/5357917","title":"Bibliometric Analysis of the Results of Cardio‐Oncology Research","year":2020,"lang":"en","type":"article","venue":"Evidence-based Complementary and Alternative Medicine","topic":"Chemotherapy-induced cardiotoxicity and mitigation","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cardiotoxicity; Medicine; Oncology; Internal medicine; Web of science; Chemotherapy; Meta-analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.002242084,0.0001325465,0.000764708,0.01068643,0.00009100066,0.000003969317,0.0002361756,0.00004152451,0.0002025076],"category_scores_gemma":[0.001286744,0.00008469273,0.0002064894,0.05767744,0.0007354597,0.0000874273,0.00009889779,0.000313414,7.23123e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009819028,"about_ca_system_score_gemma":0.0001677124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538447,"about_ca_topic_score_gemma":0.00004228166,"domain_scores_codex":[0.9971244,0.0006116455,0.0006311224,0.0003396316,0.001093234,0.0001999646],"domain_scores_gemma":[0.9968189,0.001834953,0.0002988196,0.0003315539,0.0005508176,0.0001649394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005420382,0.0002850536,0.1609565,0.0006806722,0.005733509,0.00005067341,0.007747978,0.0006902038,0.7311466,0.0005075386,0.006822621,0.07995829],"study_design_scores_gemma":[0.009134362,0.005964414,0.3429316,0.001429795,0.002603352,0.000006953681,0.002768543,0.005220884,0.6213272,0.0001575342,0.008305547,0.000149824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522566,0.002186529,0.0006397882,0.04336177,0.00009632827,0.0005926383,0.00009909822,0.00001001786,0.0007572931],"genre_scores_gemma":[0.9960013,0.0008914132,0.0001980007,0.00248233,0.0003272892,0.00001205908,0.00005920787,0.000007632188,0.00002077219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1819751,"threshold_uncertainty_score":0.9623521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3351634726521329,"score_gpt":0.4550581634523884,"score_spread":0.1198946908002556,"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."}}