{"id":"W7111233750","doi":"10.1371/journal.pone.0329854.s001","title":"PRISMA checklist.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Breast cancer; Thematic analysis; Cervical cancer; Cancer screening; Acculturation; Health care; Language barrier; Disease","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":[0.06081954,0.003759703,0.00752873,0.01550262,0.003317593,0.008866124,0.007841096,0.004786292,0.4315244],"category_scores_gemma":[0.159161,0.005188209,0.01279057,0.01574715,0.00284417,0.005386741,0.006515112,0.006678374,0.04155221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008897299,"about_ca_system_score_gemma":0.05402471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01225866,"about_ca_topic_score_gemma":0.01672731,"domain_scores_codex":[0.951143,0.02079119,0.02008149,0.003245327,0.003659534,0.001079502],"domain_scores_gemma":[0.8271613,0.111727,0.01264112,0.01276291,0.03402451,0.001683233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00117043,0.0002077526,0.0005771335,0.4860094,0.001092044,0.0002404342,0.001842922,0.0009545028,0.0003541653,0.01180948,0.4414327,0.05430925],"study_design_scores_gemma":[0.006474623,0.0002487785,0.003575671,0.2017127,0.001452371,0.000245435,0.002744994,0.001824912,0.0007513427,0.0275329,0.7530828,0.0003534813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00128363,0.004028741,0.01561681,0.009321655,0.002765323,0.3534069,0.5900599,0.006588459,0.0169286],"genre_scores_gemma":[0.002313956,0.002108843,0.06187011,0.001372753,0.000150441,0.8976121,0.0274764,0.0007153248,0.006380045],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5684756,"threshold_uncertainty_score":0.8108615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09823520141079417,"score_gpt":0.3697213643032196,"score_spread":0.2714861628924254,"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."}}