{"id":"W7111000223","doi":"10.1371/journal.pone.0323181.s001","title":"PRISMA 2009 checklist.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infertility; Public health; Confidence interval; Reproductive health; Female infertility; Reproductive medicine; Directory","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":[0.04795765,0.003861329,0.009331306,0.01311038,0.0026467,0.007726945,0.008323844,0.004204861,0.4020855],"category_scores_gemma":[0.1471431,0.004631729,0.01607425,0.01443492,0.002537598,0.003872235,0.004868609,0.00687944,0.03616833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007085873,"about_ca_system_score_gemma":0.04073175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01280662,"about_ca_topic_score_gemma":0.01951813,"domain_scores_codex":[0.9541456,0.01767315,0.01981861,0.003442765,0.003879104,0.001040884],"domain_scores_gemma":[0.8660955,0.08912661,0.01224247,0.01072461,0.02067892,0.001131806],"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":[0.001771401,0.0002224355,0.000704758,0.431647,0.002834368,0.0002784755,0.001116206,0.001457952,0.0003677807,0.009679271,0.5144527,0.03546755],"study_design_scores_gemma":[0.009245154,0.0003224891,0.005368346,0.139147,0.003569965,0.0003800217,0.001775168,0.003439837,0.0007755925,0.03321882,0.8022225,0.0005350228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001289104,0.003472742,0.01822672,0.006601854,0.002936987,0.1903335,0.7589186,0.009603987,0.008616436],"genre_scores_gemma":[0.003870489,0.002360976,0.093915,0.001724458,0.0001929142,0.8484555,0.04009572,0.001617915,0.007766974],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5979145,"threshold_uncertainty_score":0.8528525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612917783095471,"score_gpt":0.3359721267263941,"score_spread":0.2998429488954394,"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."}}