{"id":"W6904701715","doi":"10.1371/journal.pone.0292726.s001","title":"PRISMA 2020 checklist.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung cancer; Cancer; Odds ratio; Confidence interval; Population","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":[0.06773834,0.004266172,0.01033223,0.01416684,0.002662405,0.007900161,0.007976961,0.004599532,0.4334202],"category_scores_gemma":[0.1588854,0.005843212,0.01407394,0.0146036,0.003147648,0.003960088,0.004997054,0.008239514,0.03804696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007725409,"about_ca_system_score_gemma":0.0471678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095596,"about_ca_topic_score_gemma":0.01699322,"domain_scores_codex":[0.9589647,0.01860504,0.01502171,0.003593527,0.002729126,0.001085998],"domain_scores_gemma":[0.854036,0.09708841,0.01225785,0.01437968,0.02024391,0.001994185],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002978922,0.0002378657,0.0006582741,0.5289233,0.002972561,0.0002449696,0.001314832,0.001835633,0.0004260493,0.01226338,0.4053174,0.04282671],"study_design_scores_gemma":[0.01937475,0.0004857926,0.003589615,0.1665435,0.004539761,0.0003174638,0.00202748,0.003625656,0.000925423,0.04144327,0.7564932,0.0006341146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001274899,0.00432709,0.02181725,0.007375176,0.004673693,0.292759,0.6492848,0.009953862,0.00853417],"genre_scores_gemma":[0.002150171,0.001547378,0.0708561,0.001405245,0.0001819755,0.8942116,0.02280293,0.001058647,0.005785923],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9322616,"threshold_uncertainty_score":0.8081574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01392252772170171,"score_gpt":0.2865493934312086,"score_spread":0.2726268657095068,"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."}}