{"id":"W6931784023","doi":"10.5281/zenodo.7936818","title":"A SCIENTOMETRIC ANALYSIS OF CHRONIC WASTING DISEASE RESEARCH PRODUCTIVITY","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neonatal and Maternal Infections","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wasting; Citation; Productivity; Multidisciplinary approach; Disease; Bibliometrics; Chronic disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01688629,0.0008556613,0.001219304,0.09881025,0.001398519,0.005296114,0.0008553209,0.0006708276,0.004525406],"category_scores_gemma":[0.07070725,0.0002275466,0.002446889,0.1286052,0.001086201,0.004287743,0.003061878,0.0006254203,0.001311375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002791864,"about_ca_system_score_gemma":0.003261908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007529236,"about_ca_topic_score_gemma":0.003786027,"domain_scores_codex":[0.9854537,0.003562301,0.002067383,0.001013512,0.006778067,0.001125007],"domain_scores_gemma":[0.9264823,0.03225846,0.01732418,0.004300213,0.01632215,0.003312594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002520104,0.0001305598,0.9042721,0.0008074028,0.001010143,0.0002268311,0.001394842,0.004748489,0.0003662275,0.002808864,0.009051292,0.07493123],"study_design_scores_gemma":[0.00002452634,0.0002124363,0.9749678,0.0001723595,0.0001796317,0.0003315631,0.001701319,0.007058894,0.0003324985,0.001977054,0.01298552,0.00005650498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.911362,0.006372448,0.007090099,0.001888284,0.0002912483,0.0004860682,0.0341375,0.0004464311,0.03792591],"genre_scores_gemma":[0.9756964,0.002099615,0.002620517,0.00006338503,0.0003518966,0.0002995615,0.01724853,0.00006579125,0.001554433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9011897,"threshold_uncertainty_score":0.08930433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09864641209718071,"score_gpt":0.3455962792820826,"score_spread":0.2469498671849019,"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."}}