{"id":"W6961183054","doi":"10.1371/journal.pone.0318921.s002","title":"Strobe checklist.","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infertility; Public health; Social media; Pandemic; Content analysis; Health care; Fertility","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":[0.0362207,0.002808065,0.006086369,0.010233,0.004499349,0.007977531,0.00695502,0.004256476,0.4972348],"category_scores_gemma":[0.2126282,0.0024864,0.004885079,0.007567176,0.002553431,0.006136077,0.006444843,0.006045089,0.1000935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005728085,"about_ca_system_score_gemma":0.02190008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003152857,"about_ca_topic_score_gemma":0.006333968,"domain_scores_codex":[0.9395495,0.02937608,0.01870331,0.004120534,0.006758316,0.00149235],"domain_scores_gemma":[0.7844473,0.1273851,0.02518324,0.01462791,0.04599723,0.002359234],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001222115,0.0002700306,0.0008808131,0.02912611,0.0002188122,0.0001486847,0.0009249799,0.0001992135,0.00009512192,0.006936644,0.8954152,0.06456219],"study_design_scores_gemma":[0.005450687,0.0003278308,0.007428683,0.03613511,0.0003552518,0.000338977,0.002161896,0.000956987,0.0002922037,0.0295361,0.9166738,0.0003423522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.005154018,0.008016156,0.02377047,0.02528793,0.0136863,0.3643899,0.3688997,0.006516541,0.184279],"genre_scores_gemma":[0.009688214,0.003104619,0.02780637,0.006482104,0.000807568,0.8984668,0.02301553,0.001517084,0.02911169],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9637793,"threshold_uncertainty_score":0.7171335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259997858366436,"score_gpt":0.2175617188643943,"score_spread":0.1849617402807299,"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."}}