{"id":"W2966302644","doi":"10.1016/j.ccc.2019.06.010","title":"Special Populations","year":2019,"lang":"en","type":"review","venue":"Critical Care Clinics","topic":"Disaster Response and Management","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Health care; Medical emergency; Environmental health; Environmental planning; Intensive care medicine; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004382672,0.0003246758,0.00150038,0.0001484136,0.0003599626,0.00002611264,0.0003831121,0.000724835,0.002739242],"category_scores_gemma":[0.00220158,0.000270574,0.0006582417,0.0001950146,0.00008357178,0.00006396366,0.0004613254,0.001340142,0.01941132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002348905,"about_ca_system_score_gemma":0.0008104129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000354123,"about_ca_topic_score_gemma":0.00002067663,"domain_scores_codex":[0.9962788,0.001062432,0.001301197,0.0004991959,0.0002782505,0.000580158],"domain_scores_gemma":[0.995957,0.002591009,0.0001777027,0.0008377977,0.0002278555,0.0002086278],"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":[0.000006314308,0.00003066334,0.000007560488,0.06112172,0.00002128067,0.00001782626,0.0004865675,2.937533e-8,1.68784e-10,0.1059561,0.09359026,0.7387617],"study_design_scores_gemma":[0.0001344795,0.00005628869,0.000003943863,0.009889442,0.001253216,7.094282e-7,0.002297687,5.041347e-7,2.350771e-10,0.0006124568,0.985482,0.0002692926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.467896e-7,0.7794835,0.0000921776,0.0001047124,0.01455436,0.00135839,0.000225695,0.00007315083,0.2041077],"genre_scores_gemma":[0.000001482256,0.9669579,0.0002381096,0.001076507,0.01228107,0.0002521155,0.0004880033,0.00008406308,0.01862075],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8918917,"threshold_uncertainty_score":0.9999747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5934477125895866,"score_gpt":0.6558483246651389,"score_spread":0.06240061207555225,"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."}}