{"id":"W6885993617","doi":"10.1371/journal.pone.0304293.s004","title":"Newcastle-Ottawa score adapted.","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Inflammatory Bowel Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Iron deficiency; CINAHL; Disease; Population; Inclusion (mineral); Iron status; Anemia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02193453,0.001855762,0.005048702,0.01120477,0.001330707,0.004250726,0.007794441,0.002538988,0.07893819],"category_scores_gemma":[0.07755616,0.001684899,0.006644284,0.01274474,0.001661516,0.007300846,0.005126051,0.006365907,0.03263747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009545445,"about_ca_system_score_gemma":0.02448927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04956634,"about_ca_topic_score_gemma":0.07497951,"domain_scores_codex":[0.9669726,0.008901204,0.01158756,0.00265996,0.008523026,0.001355673],"domain_scores_gemma":[0.9403248,0.02127803,0.007836322,0.002800186,0.02651573,0.001244974],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009960755,0.0002159399,0.01180573,0.06012813,0.001405658,0.0003040975,0.001701885,0.001497562,0.000218516,0.005820339,0.623702,0.292204],"study_design_scores_gemma":[0.001275871,0.0005941782,0.04737882,0.04880064,0.001119071,0.001082155,0.00287397,0.001165296,0.0002812701,0.01332266,0.8816087,0.000497471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.009584677,0.257885,0.03605438,0.02332837,0.009842948,0.0314612,0.4452188,0.00395447,0.1826701],"genre_scores_gemma":[0.09619184,0.1826376,0.2327172,0.009179539,0.001014945,0.1001522,0.2853288,0.002405858,0.09037183],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9780655,"threshold_uncertainty_score":0.2640746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01948684250706296,"score_gpt":0.2588949081376768,"score_spread":0.2394080656306138,"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."}}