{"id":"W6885894499","doi":"10.1371/journal.pone.0304293.s001","title":"SWIM checklist.","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; Iron status; Inclusion (mineral); Iron-deficiency 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01001509,0.001700782,0.003878142,0.006864373,0.001188102,0.003327657,0.003524993,0.001631267,0.5241814],"category_scores_gemma":[0.04547504,0.001328026,0.003285438,0.006885646,0.0006244777,0.004312759,0.004354571,0.002058742,0.1304474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001962352,"about_ca_system_score_gemma":0.0124729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00396801,"about_ca_topic_score_gemma":0.01013316,"domain_scores_codex":[0.9926931,0.002964573,0.002819663,0.000421254,0.0008112337,0.0002901842],"domain_scores_gemma":[0.9708671,0.01589428,0.002489314,0.001164854,0.008708391,0.0008761905],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006906901,0.0001124062,0.0007667911,0.05573392,0.0001411765,0.0001170168,0.001359813,0.0002024412,0.00009338505,0.002007111,0.7841219,0.1546534],"study_design_scores_gemma":[0.002096482,0.0002754258,0.004711246,0.02786618,0.0002094842,0.0001844236,0.002651058,0.0002958246,0.0001945577,0.007245223,0.9541513,0.0001187877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005062441,0.008721977,0.008432978,0.007866335,0.002076563,0.0977909,0.7338678,0.004281035,0.1319],"genre_scores_gemma":[0.01895421,0.01514017,0.07144824,0.007190657,0.0006463983,0.5478713,0.2159521,0.002291706,0.1205052],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9899849,"threshold_uncertainty_score":0.6786975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008440891802521068,"score_gpt":0.2511854693996242,"score_spread":0.2427445775971031,"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."}}