{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006894408,0.0001044112,0.00009250767,0.0000598561,0.0002220776,0.00002241553,0.0002351382,0.000172451,0.6430508],"category_scores_gemma":[0.0002031317,0.0001011468,0.00005787923,0.0003849226,0.00001207647,0.00006967778,0.00008875324,0.0003433033,0.320406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001896072,"about_ca_system_score_gemma":0.00004455362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002212598,"about_ca_topic_score_gemma":0.000003878895,"domain_scores_codex":[0.9992425,0.000040283,0.0001368365,0.0001925369,0.00008120971,0.000306654],"domain_scores_gemma":[0.9993631,0.0002085983,0.00005010228,0.0001779289,0.00004883138,0.0001514898],"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":[0.000004839808,0.00003591898,0.00005479739,0.00002592569,0.00001578985,0.00002068749,0.00006477023,0.00005316939,0.003332823,0.0003078323,0.99046,0.00562339],"study_design_scores_gemma":[0.000213428,0.00001015262,0.002173528,0.00002869081,0.000009348597,0.000006184663,0.00002101432,0.001014449,0.008804338,0.0002853873,0.9873074,0.0001261346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02771151,0.000406256,0.000001704534,0.005251038,0.0006850333,0.0008436885,0.6920675,0.00214428,0.270889],"genre_scores_gemma":[0.5199063,0.0000459111,0.00003883742,0.003991568,0.000895052,0.001099191,0.4371034,0.0000544431,0.03686525],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4921948,"threshold_uncertainty_score":0.6801231,"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."}}