{"id":"W3006288522","doi":"10.1016/j.jcin.2019.11.030","title":"When SVGs “Had Enough”","year":2020,"lang":"en","type":"letter","venue":"JACC: Cardiovascular Interventions","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Computer science","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":[0.003272914,0.0004164139,0.0006142158,0.0006721475,0.002196725,0.003294492,0.0005400993,0.01297108,0.01661551],"category_scores_gemma":[0.02784237,0.0002657284,0.0009028724,0.0004008208,0.002017365,0.002381894,0.001144824,0.01566816,0.01046153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001948523,"about_ca_system_score_gemma":0.002430864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003936307,"about_ca_topic_score_gemma":0.01044667,"domain_scores_codex":[0.9970617,0.0008716424,0.0003368812,0.0003409509,0.0007750662,0.000613765],"domain_scores_gemma":[0.9917935,0.004430687,0.0004116031,0.0004040252,0.001495981,0.001464289],"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":[0.0001695487,0.00003400006,0.001404568,0.0000647481,0.00001775326,0.001939891,0.0002537746,0.00006504561,0.0003960749,0.01276278,0.9420758,0.04081582],"study_design_scores_gemma":[0.00009942303,0.0001361036,0.001961895,0.0006454296,0.00004603019,0.005341691,0.001450418,0.0009021263,0.001162438,0.05379623,0.934386,0.00007231013],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002439149,0.001310361,0.002120337,0.9289611,0.03767414,0.00003002925,0.0002351194,0.0003189527,0.02691078],"genre_scores_gemma":[0.03032202,0.0007789396,0.002575814,0.9065556,0.02548592,0.0000464344,0.0002061191,0.000218928,0.03381032],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01661551,"threshold_uncertainty_score":0.05558443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340529118534909,"score_gpt":0.2747619510714959,"score_spread":0.2413566598861468,"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."}}