{"id":"W7160573122","doi":"","title":"Provision of cardiosurgical care during martial law and analysis of the need for bed-places and bed-days","year":2023,"lang":"uk","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Martial arts; Health care; Martial law; MEDLINE; Health law","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":[],"consensus_categories":[],"category_scores_codex":[0.001140592,0.0001601752,0.0002477126,0.002056888,0.0009647967,0.001590805,0.0008078368,0.000462585,0.005981575],"category_scores_gemma":[0.009445646,0.0002104257,0.000567729,0.001840601,0.0005791936,0.001192464,0.00147055,0.0010632,0.0006131875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002419652,"about_ca_system_score_gemma":0.002903249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03255232,"about_ca_topic_score_gemma":0.04427402,"domain_scores_codex":[0.9988708,0.000447143,0.0001215177,0.0001080549,0.0002226359,0.0002297679],"domain_scores_gemma":[0.9961815,0.0008704445,0.001348118,0.0001004556,0.0006716991,0.0008279156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001802095,0.0001310737,0.9537564,0.0001405646,0.0000361731,0.000553232,0.01194142,0.0001143399,0.0001140524,0.00110309,0.002653152,0.02927638],"study_design_scores_gemma":[0.000004067801,0.00009533587,0.9657133,0.000213979,0.00001909019,0.0003605574,0.02986503,0.0003421853,0.00006900443,0.0004227068,0.002875891,0.00001878695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98273,0.001663332,0.0005818771,0.002491966,0.00007573639,0.000119771,0.00177255,0.00001657291,0.01054825],"genre_scores_gemma":[0.9954262,0.001154411,0.0006763502,0.0001174253,0.00004157955,0.00006039326,0.0007303356,0.000008404608,0.001784925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03255232,"threshold_uncertainty_score":0.0647257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925530741411246,"score_gpt":0.2963495850962967,"score_spread":0.2770942776821843,"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."}}