{"id":"W6961315020","doi":"10.1371/journal.pone.0282195.s001","title":"S1 Checklist -","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Psidium guajava Extracts and Applications","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Checklist; Health literacy; Literacy; Health care; The Internet; Scale (ratio); Quality (philosophy); MEDLINE","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0319446,0.003366549,0.007092384,0.01396786,0.003259399,0.007298837,0.006530309,0.004473338,0.6404544],"category_scores_gemma":[0.1580461,0.003855501,0.007401417,0.01247338,0.001907034,0.006780433,0.005693528,0.005787186,0.09454495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00704832,"about_ca_system_score_gemma":0.03094984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009955002,"about_ca_topic_score_gemma":0.02031336,"domain_scores_codex":[0.9831939,0.005494656,0.007206053,0.001429172,0.00197289,0.0007033759],"domain_scores_gemma":[0.8423468,0.09354404,0.010273,0.007637938,0.04421376,0.00198442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001949156,0.0002355016,0.001056393,0.1434903,0.0003712345,0.0002049378,0.001254311,0.0006756987,0.0001923535,0.004834048,0.79268,0.05305608],"study_design_scores_gemma":[0.006277364,0.0003673453,0.005286703,0.1108166,0.0007093574,0.0003504221,0.004202195,0.001114742,0.0004724699,0.0185877,0.8515079,0.0003071408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00150432,0.002445587,0.007163456,0.006427708,0.001765812,0.1397032,0.8212224,0.00265748,0.0171101],"genre_scores_gemma":[0.005583729,0.003129171,0.05992476,0.006236206,0.0004264064,0.7430383,0.1494652,0.001284188,0.03091218],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3595456,"threshold_uncertainty_score":0.5128482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3175802479043245,"score_gpt":0.5010000022506524,"score_spread":0.1834197543463279,"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."}}