{"id":"W6941935149","doi":"10.1371/journal.pone.0283419.s001","title":"PRISMA checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Cohort; Cohort study; CINAHL; Prevalence; Epidemiology","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":[0.06553601,0.003863969,0.008738017,0.01860321,0.00345664,0.009888493,0.007841972,0.005035165,0.4710507],"category_scores_gemma":[0.1906508,0.00507657,0.01173523,0.01931192,0.002935027,0.006214886,0.006673058,0.007703804,0.04865306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01209704,"about_ca_system_score_gemma":0.06260826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01224644,"about_ca_topic_score_gemma":0.01861341,"domain_scores_codex":[0.9527363,0.02058615,0.01754346,0.003809297,0.004097683,0.001227124],"domain_scores_gemma":[0.8349476,0.09545048,0.01425123,0.01395961,0.03903744,0.002353719],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001462496,0.0002016071,0.0005137422,0.4893212,0.001188225,0.0001929478,0.001194623,0.0008982822,0.0001995778,0.01240157,0.4435182,0.04890748],"study_design_scores_gemma":[0.009284797,0.0003074202,0.002802925,0.2484341,0.00204313,0.0002301575,0.002443444,0.00115932,0.0004268323,0.03054618,0.7020059,0.0003157743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0008119622,0.005660108,0.01119265,0.01031174,0.003999224,0.4233432,0.5229705,0.002769506,0.01894112],"genre_scores_gemma":[0.001285731,0.002494142,0.03336626,0.001585254,0.0001674837,0.9341372,0.0209458,0.0003643482,0.005653678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.934464,"threshold_uncertainty_score":0.754482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219508978964054,"score_gpt":0.22965700350067,"score_spread":0.1974619137110294,"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."}}