{"id":"W3136174866","doi":"10.1016/j.healun.2021.01.1217","title":"Learning from the Learning Curve in Heartmate II Implantation: Low Volumes Do Not Equate Bad Outcomes","year":2021,"lang":"en","type":"article","venue":"The Journal of Heart and Lung Transplantation","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Learning curve; Cardiology; Internal 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":[0.008374967,0.0004409969,0.001058568,0.001057553,0.001211338,0.004182301,0.001129656,0.001648205,0.01241045],"category_scores_gemma":[0.07438415,0.0001893692,0.001142594,0.0007264623,0.001632766,0.005682511,0.00233342,0.004050743,0.003089444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125244,"about_ca_system_score_gemma":0.002168821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004821483,"about_ca_topic_score_gemma":0.0007680404,"domain_scores_codex":[0.9953436,0.001277936,0.0006696017,0.0004223423,0.001574285,0.0007121976],"domain_scores_gemma":[0.9425728,0.02779683,0.01243009,0.002509696,0.003923147,0.01076736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00321794,0.0008491279,0.4074562,0.0007030481,0.0005173659,0.001776195,0.0007771672,0.003244076,0.00184728,0.01016244,0.01832376,0.5511254],"study_design_scores_gemma":[0.0006756405,0.01732858,0.6875359,0.004222866,0.0009380907,0.02398272,0.005631623,0.01341373,0.00719408,0.1863073,0.05231426,0.0004552604],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8486143,0.01772288,0.02190411,0.06126751,0.004009017,0.0001705532,0.0007739991,0.000314236,0.04522351],"genre_scores_gemma":[0.9835625,0.002916436,0.003604099,0.006113569,0.001521875,0.00007553153,0.0003817095,0.0001805661,0.001643737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01241045,"threshold_uncertainty_score":0.04429162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403790314313101,"score_gpt":0.2464339779065283,"score_spread":0.2323960747633973,"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."}}