{"id":"W2974788148","doi":"10.1113/jp278820","title":"Measuring blood flow through intrapulmonary and intracardiac shunts: a technical labyrinth","year":2019,"lang":"en","type":"letter","venue":"The Journal of Physiology","topic":"Cardiovascular and Diving-Related Complications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Interior Health","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Intracardiac injection; Shunt (medical); Medicine; Blood flow; Shunting; Cardiology; Venous blood; Cardiac output; Peripheral; Internal medicine; Lung; Hemodynamics; Anesthesia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003920843,0.001322495,0.0006698725,0.002247596,0.001007545,0.001919263,0.001670392,0.001821617,0.003792582],"category_scores_gemma":[0.003788679,0.0008423056,0.0007359802,0.0007722765,0.00190516,0.002699911,0.001615841,0.003487999,0.001812456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008457917,"about_ca_system_score_gemma":0.001580653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007804102,"about_ca_topic_score_gemma":0.0009112495,"domain_scores_codex":[0.9984559,0.0004293536,0.0000967015,0.0004099174,0.0004799306,0.0001282743],"domain_scores_gemma":[0.9972264,0.001012875,0.0003443577,0.0005666588,0.0005227141,0.0003269458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004854396,0.0002178865,0.005297453,0.0008708904,0.0001333151,0.0007376286,0.0004590123,0.0007987987,0.7703895,0.006555135,0.003783398,0.2102714],"study_design_scores_gemma":[0.0001246299,0.003919934,0.02942532,0.0006059047,0.0004526431,0.01046189,0.0005730081,0.01641873,0.8201047,0.01600086,0.1015275,0.0003849112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.05269257,0.0164542,0.9152482,0.004289951,0.001007407,0.0006484478,0.0004169811,0.003644075,0.005598156],"genre_scores_gemma":[0.17068,0.01151913,0.8042587,0.001653485,0.000697639,0.001576307,0.0003781131,0.0005237671,0.008712777],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.003920843,"threshold_uncertainty_score":0.02073562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316533784283284,"score_gpt":0.2420988831591087,"score_spread":0.2189335453162759,"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."}}