{"id":"W2765389014","doi":"10.1177/2045893217740471","title":"Validity of algorithm for estimating left sided filling pressures on echocardiography in a population referred for pulmonary arterial hypertension","year":2017,"lang":"en","type":"article","venue":"Pulmonary Circulation","topic":"Pulmonary Hypertension Research and Treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Preload; Algorithm; Cardiology; Internal medicine; Pulmonary wedge pressure; Confidence interval; Population; Predictive value; Indeterminate; Pulmonary hypertension; Positive predicative value; Pulmonary artery; Radiology; Hemodynamics","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":[0.000522453,0.0002555251,0.0006011775,0.0006661712,0.0004558685,0.00004481271,0.0001397045,0.0002008699,0.000007940719],"category_scores_gemma":[0.0008192585,0.000234621,0.0003433813,0.0001647352,0.00006097407,0.0003670313,0.0000431873,0.0001372557,0.000001830686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008507328,"about_ca_system_score_gemma":0.00005157683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002540442,"about_ca_topic_score_gemma":0.00000516565,"domain_scores_codex":[0.9979346,0.00009036262,0.0005539908,0.0005572103,0.0004723042,0.0003915436],"domain_scores_gemma":[0.9981436,0.0004007466,0.0003704091,0.0006432455,0.0003012672,0.0001407215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004630301,0.002528081,0.6366736,0.0007344377,0.0002778239,0.0006059508,0.00005266909,0.003596778,0.06555641,0.00004581983,0.0001246106,0.2851735],"study_design_scores_gemma":[0.001443814,0.0002318987,0.5714958,0.0003377821,0.00009855806,0.00007047375,0.000009724762,0.4238192,0.0005623655,0.001776478,0.00003083082,0.0001230663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986156,0.0000998585,0.009464244,0.0003040935,0.0005014053,0.002958618,0.0001997034,0.00006127134,0.0002548035],"genre_scores_gemma":[0.9733741,0.00002247421,0.0243316,0.00004137669,0.0003649055,0.0002042232,0.001578952,0.00004614728,0.00003627336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4202224,"threshold_uncertainty_score":0.9567567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07903463813956936,"score_gpt":0.3343868379041527,"score_spread":0.2553521997645834,"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."}}