{"id":"W3216544840","doi":"10.1097/gox.0000000000003897","title":"Evaluating Breast Reconstruction Reviews Using A Measurement Tool to Assess Systematic Reviews (AMSTAR)","year":2021,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery Global Open","topic":"Breast Implant and Reconstruction","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Systematic review; Medicine; Cochrane Library; MEDLINE; Breast cancer; Meta-analysis; Medical physics; Internal medicine; Data mining; Computer science; Cancer; Biology","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":[0.2981087,0.004843745,0.01858252,0.05343342,0.002352027,0.007609023,0.003799096,0.003144148,0.006231229],"category_scores_gemma":[0.5871822,0.003052572,0.04114849,0.03968688,0.002907169,0.006330217,0.008155596,0.002980438,0.0006026659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01020393,"about_ca_system_score_gemma":0.02670372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003642635,"about_ca_topic_score_gemma":0.009026347,"domain_scores_codex":[0.4395222,0.2266748,0.2717218,0.01296926,0.04736805,0.001743939],"domain_scores_gemma":[0.2813605,0.489908,0.1476393,0.01841335,0.06014407,0.002534751],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0009494487,0.00006931178,0.01706426,0.837859,0.08111969,0.0001428036,0.001396079,0.001202583,0.0006721052,0.001190941,0.00468991,0.05364395],"study_design_scores_gemma":[0.005774761,0.003195531,0.09434365,0.5078275,0.3173226,0.001350763,0.002939909,0.006772473,0.002391322,0.009236154,0.0478028,0.00104258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04980925,0.63851,0.09138753,0.01036914,0.003743359,0.1457059,0.05232827,0.002570883,0.005575728],"genre_scores_gemma":[0.2216682,0.0857024,0.3335387,0.002449468,0.0006046645,0.344864,0.01020744,0.0002754794,0.0006897449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7018913,"threshold_uncertainty_score":0.865557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2641889059306956,"score_gpt":0.3904462487043556,"score_spread":0.12625734277366,"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."}}