{"id":"W2058839493","doi":"10.1371/journal.pone.0027319","title":"Establishing a Minimum Dataset for Prospective Registration of Systematic Reviews: An International Consultation","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Institute for Health and Care Research","keywords":"Transparency (behavior); Delphi method; Trial registration; Medicine; MEDLINE; Medical education; Family medicine; Psychology; Computer science; Political science; Clinical trial; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06595425,0.0001544928,0.00247645,0.0002255825,0.00005959966,0.0003678151,0.001204121,0.00004897102,0.001112875],"category_scores_gemma":[0.1727605,0.00008326497,0.0003514236,0.0004644482,0.00003894907,0.00113665,0.00003858935,0.00005468252,0.0002415699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002884327,"about_ca_system_score_gemma":0.00003582899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001515637,"about_ca_topic_score_gemma":0.00005121168,"domain_scores_codex":[0.9861174,0.003124032,0.007232112,0.0005759601,0.00283947,0.0001110902],"domain_scores_gemma":[0.9835948,0.003464377,0.008161903,0.002213678,0.002487991,0.00007720462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009638339,0.02333669,0.1150721,0.2344986,0.01524326,0.00001788585,0.09935769,0.00003275737,0.04255385,0.1751908,0.2864235,0.007309044],"study_design_scores_gemma":[0.0117372,0.005494926,0.05436764,0.1015592,0.03895988,0.00008148365,0.05221478,0.4191522,0.04417538,0.2349684,0.03202177,0.005267055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6638363,0.003889524,0.2196815,0.0009007193,0.001093464,0.05975845,0.00918595,0.00005028798,0.04160382],"genre_scores_gemma":[0.8430532,0.0001089784,0.1485804,0.0001732186,0.000177773,0.001848255,0.001710114,0.00002242873,0.004325657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4191195,"threshold_uncertainty_score":0.9998003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8910250848457641,"score_gpt":0.5117206639167723,"score_spread":0.3793044209289919,"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."}}