{"id":"W3044091805","doi":"10.1016/j.athoracsur.2020.05.148","title":"Systematic Reviews and Meta-Analyses in Cardiac Surgery: Rules of the Road – Part 1","year":2020,"lang":"en","type":"review","venue":"The Annals of Thoracic Surgery","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Protocol (science); Meta-analysis; Data extraction; Systematic review; Identification (biology); Missing data; MEDLINE; Selection (genetic algorithm); Warrant; Management science; Data science; Medical physics; Risk analysis (engineering); Computer science; Alternative medicine; Artificial intelligence; Machine learning; Pathology","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2587295,0.004066382,0.0239502,0.01412036,0.002546713,0.01396742,0.005745213,0.01200482,0.00625393],"category_scores_gemma":[0.5380183,0.004433814,0.01554317,0.01322773,0.007548134,0.01503469,0.007670261,0.01150167,0.001517639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007985785,"about_ca_system_score_gemma":0.02074426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006512582,"about_ca_topic_score_gemma":0.01678428,"domain_scores_codex":[0.6438921,0.2666039,0.05675717,0.00789943,0.02329344,0.001553985],"domain_scores_gemma":[0.3341196,0.5980054,0.03126181,0.01247736,0.0225118,0.001623904],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001927578,0.0001116327,0.004774928,0.5800576,0.08481774,0.0001774162,0.0008682176,0.001750305,0.0002881103,0.02630446,0.05676062,0.2421613],"study_design_scores_gemma":[0.002271448,0.0005942997,0.005142838,0.6456895,0.1371154,0.000507939,0.0004272002,0.004190702,0.0004282383,0.1155793,0.08770889,0.0003442316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.000230068,0.9836917,0.003167533,0.009332076,0.002277442,0.0004391351,0.0001867749,0.00004219566,0.0006329902],"genre_scores_gemma":[0.0217029,0.9229923,0.02376187,0.01851662,0.009263202,0.002664166,0.0003820788,0.0001138892,0.0006030584],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7412705,"threshold_uncertainty_score":0.9141185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9399751115000515,"score_gpt":0.6264730288997578,"score_spread":0.3135020826002938,"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."}}