{"id":"W6902264036","doi":"10.6084/m9.figshare.25210480.v1","title":"Additional file 1 of Clinical relevance of transcranial Doppler in a cardiac surgery setting: embolic load predicts difficult separation from cardiopulmonary bypass","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Cardiac and Coronary Surgery Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Institut universitaire de cardiologie et de pneumologie de Québec; Montreal Heart Institute","funders":"","keywords":"Cardiopulmonary bypass; Table (database); Cardiac surgery; Oxygenator; Hemodynamics; Transcranial Doppler; Clinical significance","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001204465,0.0007975542,0.001172858,0.001622158,0.0008832057,0.001098175,0.00116947,0.001030409,0.8197756],"category_scores_gemma":[0.03545713,0.0003477583,0.0007047111,0.002602221,0.0002158335,0.001701361,0.0007577405,0.0008977357,0.0982786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007839996,"about_ca_system_score_gemma":0.00134539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005602317,"about_ca_topic_score_gemma":0.006691732,"domain_scores_codex":[0.9991792,0.0001737162,0.0002000271,0.0001803341,0.0001444705,0.0001222253],"domain_scores_gemma":[0.9791286,0.01487442,0.002314211,0.0009058295,0.002296165,0.0004807751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006204062,0.0001576761,0.01257969,0.002216357,0.00005689303,0.0001434011,0.00008389774,0.0003580698,0.00004955422,0.0008884497,0.9713912,0.01145437],"study_design_scores_gemma":[0.01276201,0.001176022,0.1934495,0.01606243,0.000467025,0.003605938,0.001877193,0.00535212,0.001167923,0.02648272,0.7372499,0.0003473266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0008401622,0.0000429399,0.0002248337,0.0002632902,0.00003102455,0.0001793009,0.9960537,0.00007288986,0.002291803],"genre_scores_gemma":[0.05705494,0.0005558461,0.00377962,0.00205338,0.0005631255,0.005798748,0.9068879,0.0005008689,0.02280553],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8197756,"threshold_uncertainty_score":0.2570682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237817437119263,"score_gpt":0.3102873169831369,"score_spread":0.2779091426119443,"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."}}