{"id":"W7106857150","doi":"10.14288/cjur.v5i1.189824","title":"The Artificial Heart: Medical Improvements on Infections and Strokes","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Mechanical Circulatory Support Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Artificial heart; Stroke (engine); Mechanical heart; Heart failure; Heart disease","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":[0.001435039,0.0004030414,0.0005395691,0.001508051,0.0003428271,0.001302003,0.0003681409,0.0009618886,0.004008515],"category_scores_gemma":[0.003380461,0.0001162268,0.0004777115,0.001001125,0.0006118372,0.001715684,0.0005970901,0.001058869,0.0007675509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005091528,"about_ca_system_score_gemma":0.001393437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008557302,"about_ca_topic_score_gemma":0.001519652,"domain_scores_codex":[0.9991319,0.0002901084,0.000123909,0.00007479027,0.0003017769,0.00007754458],"domain_scores_gemma":[0.9979371,0.0009377374,0.0003693108,0.00007936573,0.0004990251,0.0001774785],"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":[0.0001797317,0.0001315592,0.001820398,0.003229627,0.00006205373,0.0001922822,0.0001543426,0.0001863114,0.00230462,0.007349963,0.01340835,0.9709807],"study_design_scores_gemma":[0.000105348,0.001944789,0.04414992,0.01073574,0.0007220702,0.006369236,0.0008597362,0.0008492679,0.01032594,0.01943039,0.90439,0.0001175521],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.007922653,0.9593217,0.003075761,0.01274352,0.001280869,0.0000288256,0.00005875276,0.00008018199,0.01548786],"genre_scores_gemma":[0.06228328,0.9207105,0.004737411,0.004577222,0.003011457,0.00002610959,0.00008493564,0.00002782391,0.004541251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004008515,"threshold_uncertainty_score":0.01340979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447017545222775,"score_gpt":0.2863038572203964,"score_spread":0.2618336817681686,"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."}}