{"id":"W4210566066","doi":"10.1002/ccd.30115","title":"Infrared thermography as an adjunctive tool for detection of femoral arterial thrombosis after cardiac catheterization: A prospective, pilot study","year":2022,"lang":"en","type":"article","venue":"Catheterization and Cardiovascular Interventions","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Thermography; Cardiac catheterization; Thrombus; Receiver operating characteristic; Radiology; Thrombosis; Prospective cohort study; Cardiology; Surgery; Internal medicine; Nuclear medicine; Infrared","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":[],"consensus_categories":[],"category_scores_codex":[0.003998616,0.001015296,0.0005619234,0.0008285851,0.0004360242,0.0005832571,0.000447094,0.0007461054,0.001178214],"category_scores_gemma":[0.009200381,0.0006115265,0.0005389138,0.0004608105,0.000930947,0.0009471578,0.0004689767,0.0008248903,0.0004397851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693702,"about_ca_system_score_gemma":0.0007317244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001235263,"about_ca_topic_score_gemma":0.00137296,"domain_scores_codex":[0.9973727,0.001485298,0.0001568493,0.0003924103,0.0003909246,0.0002017436],"domain_scores_gemma":[0.9918315,0.004307528,0.001268016,0.0006523847,0.001060729,0.0008799398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00488657,0.005183036,0.9771777,0.00007804309,0.00007132268,0.000808344,0.0007680685,0.0001125458,0.003312178,0.00002622204,0.00007135587,0.007504501],"study_design_scores_gemma":[0.0009695043,0.1239417,0.8670151,0.00003854995,0.0001621824,0.003528306,0.0008334114,0.0013004,0.001764021,0.00003109287,0.0003782678,0.00003744058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993412,0.0000926693,0.0002272375,0.00000807167,0.00000485251,0.0001255459,0.00004557105,0.00000477075,0.0001499755],"genre_scores_gemma":[0.9986777,0.00009689026,0.0008870215,0.00002451246,0.00002194418,0.0001283647,0.0000981392,0.00000306827,0.00006236775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003998616,"threshold_uncertainty_score":0.02114701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02444358735862296,"score_gpt":0.2807292478444849,"score_spread":0.256285660485862,"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."}}