{"id":"W4226081232","doi":"10.1136/bmjopen-2021-054223","title":"Identifying and addressing conflicting results across multiple discordant systematic reviews on the same question: protocol for a replication study of the Jadad algorithm","year":2022,"lang":"en","type":"article","venue":"BMJ Open","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; Nova Scotia Health Authority; University of British Columbia; Ottawa Hospital; Queen's University; Montfort Hospital; University of Ottawa; University of Toronto; St. Michael's Hospital","funders":"Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research","keywords":"Medicine; Replication (statistics); Protocol (science); Jadad scale; Systematic review; MEDLINE; Bioinformatics; Algorithm; Alternative medicine; Pathology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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","metaepi_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2591949,0.006735116,0.01114334,0.01365535,0.005806475,0.007747493,0.005133573,0.0125936,0.03670944],"category_scores_gemma":[0.387601,0.006358103,0.01735134,0.01312258,0.008611997,0.01058939,0.007135533,0.011054,0.01222309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01642716,"about_ca_system_score_gemma":0.05614948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003224249,"about_ca_topic_score_gemma":0.006241975,"domain_scores_codex":[0.7311085,0.1484301,0.07995597,0.01312071,0.02189417,0.005490534],"domain_scores_gemma":[0.6650246,0.1328545,0.06286398,0.03974542,0.09345107,0.006060452],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05212118,0.003215257,0.005223612,0.5864112,0.008453344,0.002054526,0.02385549,0.005570127,0.01021289,0.02712944,0.1040109,0.171742],"study_design_scores_gemma":[0.1438449,0.01023456,0.01834826,0.3583353,0.008952658,0.00168336,0.009398511,0.01216789,0.01299911,0.06499755,0.3566568,0.00238115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0004410367,0.0003270322,0.002911499,0.0003411713,0.000300371,0.9943928,0.0009001723,0.00008879967,0.0002971129],"genre_scores_gemma":[0.0003657471,0.00009520921,0.005284667,0.00009318979,0.00001629513,0.9939511,0.0001110919,0.000007069078,0.00007559048],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.9888567,"threshold_uncertainty_score":0.9135447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9124827650567323,"score_gpt":0.6819214249194682,"score_spread":0.2305613401372641,"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."}}