{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001872278,0.00007839724,0.0001791558,0.004183532,0.0012833,0.0001649071,0.0003223186,0.00002627471,0.003702174],"category_scores_gemma":[0.002618262,0.00007362906,0.00009606218,0.0195878,0.0002517247,0.0001477092,0.0009087946,0.0002514164,0.002820428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002239511,"about_ca_system_score_gemma":0.00001527657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000256185,"about_ca_topic_score_gemma":5.655511e-7,"domain_scores_codex":[0.9980835,0.0002321734,0.0001995939,0.0003764093,0.0007330212,0.000375305],"domain_scores_gemma":[0.9981153,0.00005272983,0.00006149463,0.0004398676,0.001068925,0.000261679],"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":[0.0008015058,0.002929711,0.006250004,0.004571499,0.002660792,0.0004078928,0.002660453,0.00346613,0.2374395,0.01190955,0.1517244,0.5751786],"study_design_scores_gemma":[0.0008382626,0.0007056732,0.2265857,0.0002346017,0.0004800553,0.00006244643,0.0002261512,0.01133472,0.003785241,0.000196188,0.7553363,0.0002146343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726097,0.000261913,0.0006395003,0.00118239,0.0001041811,0.0005987952,0.0002512985,0.000821786,0.02353043],"genre_scores_gemma":[0.995688,0.0001361152,0.00002529171,0.00001093572,0.0001287107,9.476618e-8,0.0007966149,0.0003114399,0.002902809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6036119,"threshold_uncertainty_score":0.997956,"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."}}