{"id":"W7008937817","doi":"","title":"COVID-19 and blood clots","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Complication; Thrombosis; Venous thrombosis; Blood transfusion; Blood component","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":[0.000470843,0.0003410428,0.0002826483,0.000862072,0.00111168,0.001730505,0.000296971,0.001959719,0.03109129],"category_scores_gemma":[0.002680705,0.0001581054,0.0002437852,0.0008564277,0.0004755981,0.0005238933,0.0007876652,0.001755453,0.005969367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008260341,"about_ca_system_score_gemma":0.0005925704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008311375,"about_ca_topic_score_gemma":0.009348786,"domain_scores_codex":[0.9995704,0.00008719097,0.00003414799,0.00003280393,0.0001595173,0.0001158081],"domain_scores_gemma":[0.9990244,0.0002232789,0.0002919895,0.00003952923,0.000170801,0.0002499706],"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":[0.0009660247,0.0002882082,0.08562696,0.0009850403,0.00006805903,0.04786248,0.0008033616,0.000129776,0.001905984,0.01713251,0.6118597,0.2323719],"study_design_scores_gemma":[0.0001167739,0.0003158606,0.07942087,0.001913379,0.00006234478,0.09015632,0.001209799,0.0002368015,0.001085632,0.005810841,0.8196179,0.00005355107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08440899,0.3832761,0.0005423461,0.08865267,0.005428317,0.00008524489,0.002263324,0.0002858308,0.4350572],"genre_scores_gemma":[0.551303,0.1959477,0.0009640983,0.02239312,0.01024609,0.00006373215,0.003925567,0.0001389904,0.2150177],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03109129,"threshold_uncertainty_score":0.1040106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009372751820545715,"score_gpt":0.1952019806822663,"score_spread":0.1858292288617205,"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."}}