{"id":"W2154631598","doi":"10.3109/01421590903414245","title":"Conducting a best evidence systematic review. Part 1: From idea to data coding. BEME Guide No. 13","year":2010,"lang":"en","type":"article","venue":"Medical Teacher","topic":"Innovations in Medical Education","field":"Medicine","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Systematic review; Best evidence; Best practice; Engineering ethics; Coding (social sciences); Medical education; MEDLINE; Psychology; Medicine; Political science; Sociology; Engineering; Social 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00689445,0.0002333827,0.0008162755,0.000100383,0.000115146,0.00003523728,0.001026244,0.0002879599,0.01582536],"category_scores_gemma":[0.2486085,0.0001758842,0.00006438054,0.0005556177,0.0002064166,0.0002281034,0.000383632,0.001530523,0.00345142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039481,"about_ca_system_score_gemma":0.0005130357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003765035,"about_ca_topic_score_gemma":0.00006010675,"domain_scores_codex":[0.9956039,0.0002142419,0.001335796,0.0006612566,0.001789329,0.0003954555],"domain_scores_gemma":[0.9953097,0.0004010951,0.0003126776,0.002752079,0.0006330211,0.0005914628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001047633,0.0002867263,0.003618312,0.02751244,0.00009117214,0.00004422933,0.000329374,1.669629e-8,0.0007688218,0.00007689289,0.9635296,0.003731903],"study_design_scores_gemma":[0.001483827,0.0002919912,0.0005120162,0.6255227,0.002602136,0.0003369001,0.001248143,0.01225357,0.0001684832,0.000110033,0.3545633,0.0009069249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6097462,0.01965817,0.00607005,0.3053778,0.01866295,0.009815481,0.00005376872,0.0008036994,0.02981195],"genre_scores_gemma":[0.487753,0.006070869,0.07898507,0.2635815,0.04173438,0.002906061,0.00417207,0.0005427244,0.1142543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6089664,"threshold_uncertainty_score":0.9973245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1953247900495328,"score_gpt":0.4437700946487836,"score_spread":0.2484453045992507,"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."}}