{"id":"W4386494107","doi":"10.2196/preprints.52421","title":"Pulmonary Rehabilitation in Patients with Mechanical Ventilation: Bibliometric Analysis (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Web of science; Mechanical ventilation; Library science; Pulmonary rehabilitation; Preprint; Medicine; Citation; Bibliometrics; Computer science; Physical therapy; World Wide Web; Internal medicine; 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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004848248,0.0004116279,0.001554058,0.07123201,0.000489933,0.003707413,0.0004375627,0.0004470691,0.007156868],"category_scores_gemma":[0.03611661,0.0001806227,0.002074451,0.1194154,0.0003063444,0.002436358,0.00133703,0.0003514151,0.00111985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634358,"about_ca_system_score_gemma":0.002618508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004516978,"about_ca_topic_score_gemma":0.004661917,"domain_scores_codex":[0.9935644,0.001367377,0.002144829,0.0005379762,0.002142476,0.0002428597],"domain_scores_gemma":[0.9663464,0.02127554,0.0061071,0.0006962446,0.005199711,0.0003750191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007182795,0.000179619,0.5601847,0.05214839,0.007290806,0.0005592727,0.002673061,0.002404506,0.001054822,0.00232793,0.07424016,0.2962186],"study_design_scores_gemma":[0.00007370669,0.000167878,0.9202802,0.008162877,0.004015297,0.0007723277,0.004209152,0.003766791,0.0009940171,0.001582106,0.05588611,0.00008958927],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6261077,0.1021964,0.003623608,0.008315607,0.0009537145,0.001010969,0.2356302,0.0006751964,0.02148678],"genre_scores_gemma":[0.8600576,0.05785565,0.0076564,0.0004546064,0.0008927669,0.0008647821,0.06955184,0.0001322756,0.002534025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.928768,"threshold_uncertainty_score":0.02564025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02360783885385425,"score_gpt":0.3134151803885059,"score_spread":0.2898073415346517,"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."}}