{"id":"W4286383032","doi":"10.2967/jnumed.122.264311","title":"Hot Spot Imaging in Cardiovascular Diseases: An Information Statement from SNMMI, ASNC, and EANM","year":2022,"lang":"en","type":"article","venue":"Journal of Nuclear Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Cardiac imaging; Myocardial infarction; Nuclear imaging; Nuclear medicine imaging; Molecular imaging; Medical physics; Internal medicine; Cardiology; Radiology; Nuclear medicine","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":[0.05734887,0.001599376,0.001671737,0.004894808,0.002570349,0.006146539,0.004243199,0.01352608,0.006533246],"category_scores_gemma":[0.08001814,0.001296402,0.001788705,0.003743005,0.00336675,0.004307,0.005693252,0.009688276,0.01250124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004168641,"about_ca_system_score_gemma":0.03003433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01575223,"about_ca_topic_score_gemma":0.0195388,"domain_scores_codex":[0.9655374,0.00938163,0.007150453,0.001079677,0.0150397,0.001811271],"domain_scores_gemma":[0.8671616,0.04355003,0.01570206,0.007276038,0.06048433,0.005825937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009681981,0.0001154812,0.002272311,0.0007074385,0.00002136901,0.0003985301,0.0004927297,0.0005994507,0.00261628,0.009418905,0.854551,0.1287095],"study_design_scores_gemma":[0.00002227271,0.00009107373,0.002519176,0.002091553,0.00002743633,0.0007713668,0.0002225306,0.0004173775,0.001837558,0.003181758,0.9887555,0.00006228976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005438776,0.07732437,0.08433113,0.5952963,0.04397007,0.003704564,0.01194024,0.005444001,0.1725506],"genre_scores_gemma":[0.03433147,0.1144556,0.293231,0.3677926,0.03508437,0.006936616,0.02637108,0.003379438,0.1184178],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05734887,"threshold_uncertainty_score":0.3032934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007950081646665334,"score_gpt":0.2510255643079009,"score_spread":0.2430754826612355,"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."}}