{"id":"W4406493518","doi":"10.56294/hl2023189","title":"Bibliometric study of scientific production in Scopus on psychiatric nutrition","year":2023,"lang":"en","type":"article","venue":"Health Leadership and Quality of Life","topic":"Human Health and Disease","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scopus; Production (economics); Psychiatry; Psychology; Medicine; MEDLINE; Political science; Economics","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":["bibliometrics"],"category_scores_codex":[0.003864808,0.00008965028,0.0004324317,0.02333149,0.0001196981,0.000008804708,0.00004182573,0.00005411451,0.00001252195],"category_scores_gemma":[0.00119424,0.00008485563,0.00003947891,0.03695454,0.000101427,0.00006231505,0.000009318033,0.0001797152,0.00001503366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004367684,"about_ca_system_score_gemma":0.0004936364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006318417,"about_ca_topic_score_gemma":0.0002657141,"domain_scores_codex":[0.9974977,0.0004185424,0.0008497112,0.0003405735,0.0005766953,0.0003167134],"domain_scores_gemma":[0.998762,0.0001618608,0.0002834396,0.0002764768,0.0001163257,0.0003999369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002151681,0.006844435,0.9309267,0.03348967,0.00001332935,0.000002000672,0.006723436,0.000006325159,0.00005967187,0.0001620744,0.008543655,0.01107705],"study_design_scores_gemma":[0.003361453,0.001961782,0.9773983,0.0003262376,0.000009060152,5.196254e-7,0.01667694,0.00001281365,0.0000253717,0.0000728038,0.00009330251,0.00006140435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981951,0.002348294,8.25212e-7,0.01387986,0.0003395157,0.001392663,0.00000899247,0.00004145739,0.00003741211],"genre_scores_gemma":[0.9982648,0.0002433148,0.00002771917,0.001153827,0.0001535887,0.00003335667,0.00002968851,0.000008333925,0.00008529927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04647164,"threshold_uncertainty_score":0.9877382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4170540695267329,"score_gpt":0.4707313713321744,"score_spread":0.05367730180544145,"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."}}