{"id":"W3036232446","doi":"","title":"Relationship among microvascular resistance, coronary flow, and fractional flow reserve","year":2014,"lang":"en","type":"article","venue":"Experimental & clinical cardiology/Experimental and clinical cardiology","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Fractional flow reserve; Medicine; Cardiology; Coronary flow reserve; Flow (mathematics); Internal medicine; Blood flow; Mechanics; Myocardial infarction; Coronary angiography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001378855,0.0003385124,0.0003521723,0.0006414598,0.0001990802,0.0004690176,0.0003454796,0.0008185153,0.002820256],"category_scores_gemma":[0.006515048,0.0003979767,0.0003578922,0.0004268446,0.0004040258,0.0004897894,0.000270604,0.001053904,0.0003589963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652116,"about_ca_system_score_gemma":0.0001968159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128229,"about_ca_topic_score_gemma":0.0008125664,"domain_scores_codex":[0.9995901,0.0001727721,0.0000281152,0.00009252315,0.00005266173,0.00006384649],"domain_scores_gemma":[0.990988,0.006810404,0.0008823864,0.0005470325,0.0002230739,0.0005492631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003071197,0.0004039548,0.9842008,0.00002833146,0.0003544902,0.0001947623,0.000121319,0.0006177553,0.003903206,0.0002995864,0.000173754,0.006630879],"study_design_scores_gemma":[0.00002478133,0.000331762,0.9969285,0.000003253966,0.0000866191,0.0003065389,0.00003779942,0.001718641,0.0002498455,0.0001944327,0.0001101011,0.000007706482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971463,0.00085257,0.0005167,0.0001056408,0.00001411958,0.000008918566,0.0001773901,0.00002885983,0.001149469],"genre_scores_gemma":[0.9992089,0.00009114964,0.0002452306,0.00002235372,0.00003256335,0.000009496271,0.00007251319,0.000004378579,0.0003135019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002820256,"threshold_uncertainty_score":0.0094347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03751482448681071,"score_gpt":0.3585161388153557,"score_spread":0.321001314328545,"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."}}