{"id":"W2545782124","doi":"10.5114/kitp.2016.62603","title":"Lung donor shortage – how to overcome it?","year":2016,"lang":"en","type":"editorial","venue":"Polish Journal of Cardio-Thoracic Surgery","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Lung; Medicine; Computer science; Internal medicine; Philosophy","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":[0.01439506,0.001444801,0.001786455,0.002521061,0.003608916,0.009498432,0.003743483,0.01160542,0.02941498],"category_scores_gemma":[0.02851875,0.0006215856,0.001467005,0.001775312,0.006586666,0.0229136,0.01065659,0.02018115,0.01347626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005007238,"about_ca_system_score_gemma":0.01389654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00494027,"about_ca_topic_score_gemma":0.01054668,"domain_scores_codex":[0.9929211,0.002185278,0.0008699652,0.0007299312,0.002189908,0.001103839],"domain_scores_gemma":[0.9760769,0.006896478,0.00207872,0.0007224784,0.006454775,0.007770612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001159336,0.0001381026,0.001875594,0.002339173,0.00008090489,0.0006622699,0.0009939503,0.0003066997,0.0004007186,0.01642287,0.7546779,0.2219859],"study_design_scores_gemma":[0.0000796539,0.0002186952,0.003592492,0.0133845,0.0001002541,0.002591877,0.01105848,0.0004418965,0.0005039253,0.06786973,0.8999704,0.000188061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0008694092,0.1172485,0.001627651,0.857547,0.01749238,0.00002331502,0.0001611582,0.0001826001,0.004848061],"genre_scores_gemma":[0.04275397,0.3697384,0.005324793,0.5230445,0.0415013,0.0002044855,0.000734601,0.000410358,0.01628758],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02941498,"threshold_uncertainty_score":0.09840292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971126205734581,"score_gpt":0.3727826051593545,"score_spread":0.3430713431020087,"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."}}