{"id":"W3087179810","doi":"10.2450/2020.0108-20","title":"Bacterial contamination of blood products for transfusion in the Democratic Republic of the Congo: temperature monitoring, qualitative and semi-quantitative culture.","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Saint-Luc","funders":"Vlaamse regering","keywords":"Contamination; Democracy; Blood culture; Blood transfusion; Intensive care medicine; Medicine; Political science; Immunology; Biology; Microbiology; Law; Ecology; Antibiotics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009306702,0.00009771922,0.0001664571,0.00005928065,0.00009471357,0.00009039664,0.0001563369,0.00005375558,0.000005368172],"category_scores_gemma":[0.001616423,0.00005729929,0.00004256535,0.0005350665,0.00007137271,0.0007592211,0.00002139267,0.0001190996,2.337156e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003125582,"about_ca_system_score_gemma":0.00001518115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005476646,"about_ca_topic_score_gemma":0.00003732712,"domain_scores_codex":[0.9990808,0.0001143951,0.0002934356,0.0001846352,0.0002176574,0.0001091187],"domain_scores_gemma":[0.9990132,0.0002617183,0.0002945155,0.00009306848,0.0003302413,0.000007271117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004073597,0.002931709,0.07248327,0.008714673,0.00106737,0.00000667743,0.2944814,0.00002431634,0.3010163,0.2681967,0.006184958,0.0408191],"study_design_scores_gemma":[0.009251095,0.0001840402,0.8469574,0.000163792,0.0008924695,0.000003506442,0.05277149,0.0002380241,0.07208479,0.003252434,0.01376649,0.0004343916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834024,0.0001611517,0.00002289926,0.01383869,0.0002202815,0.00174042,0.00001250726,0.00001261002,0.0005890274],"genre_scores_gemma":[0.9988089,0.00003842535,0.00009166209,0.0004328741,0.0001909716,0.0003633331,0.00001395332,0.000007772178,0.00005214515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7744742,"threshold_uncertainty_score":0.2336597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04578052742997017,"score_gpt":0.2697391030471068,"score_spread":0.2239585756171366,"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."}}