{"id":"W4390081751","doi":"10.53660/clm-2593-23u58","title":"Respiratory care in focus: a decadal bibliometric review of research dynamics","year":2023,"lang":"en","type":"article","venue":"Concilium","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Respiratory care; Scopus; Health care; MEDLINE; Medicine; Medical education; Library science; Political science; Sociology; Computer science; Social science; Intensive care medicine","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":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.02033463,0.00008022474,0.0002559163,0.02296954,0.0001800358,0.00003978627,0.001677364,0.00016845,0.0001247651],"category_scores_gemma":[0.01746849,0.00008339585,0.00005413708,0.1663363,0.0007517232,0.0001896147,0.0007291989,0.0005207392,0.0001548026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007109097,"about_ca_system_score_gemma":0.001897652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004023074,"about_ca_topic_score_gemma":0.01375971,"domain_scores_codex":[0.9948468,0.001323797,0.0004188926,0.0003831392,0.002341758,0.0006856183],"domain_scores_gemma":[0.9958004,0.001676237,0.00006734802,0.0008306737,0.001481355,0.0001439531],"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":[0.00005375345,0.0001070138,0.0759511,0.01034979,0.0000225058,0.0003635515,0.007185498,0.000001920351,0.0002719618,0.02254767,0.3033455,0.5797997],"study_design_scores_gemma":[0.0006736646,0.0003905904,0.02850894,0.009256676,0.0000128658,0.000001246636,0.0357952,0.0002953087,0.0006844242,0.004778815,0.9191135,0.000488769],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2019546,0.3580251,0.00008065236,0.02140182,0.0008693255,0.005880169,0.0003192518,0.001109496,0.4103596],"genre_scores_gemma":[0.9402434,0.05768865,0.0001833251,0.0002187789,0.0001873397,0.0001962544,0.00002706807,0.00003342327,0.001221726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7382888,"threshold_uncertainty_score":0.9908078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3157487932195568,"score_gpt":0.5656663666884038,"score_spread":0.2499175734688469,"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."}}