{"id":"W6923271313","doi":"10.1371/journal.pone.0307324.s010","title":"PRISMA 2020 checklist.","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine protected area; Biodiversity; Global biodiversity; Ratification; Work (physics); Northern territory","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":[0.02855887,0.003099379,0.004956003,0.01548088,0.001587015,0.005766452,0.01060965,0.004833438,0.3258243],"category_scores_gemma":[0.08836262,0.004026528,0.008689144,0.01437426,0.001497774,0.004224048,0.005302999,0.006463076,0.0772725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004714434,"about_ca_system_score_gemma":0.03162618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02793777,"about_ca_topic_score_gemma":0.02166924,"domain_scores_codex":[0.9801601,0.009541049,0.00527954,0.001655427,0.002353674,0.001010208],"domain_scores_gemma":[0.9490973,0.02974579,0.005050077,0.003261931,0.01157933,0.00126561],"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":[0.0002697475,0.00004083378,0.0005103113,0.1382921,0.0006327715,0.0001264351,0.000369828,0.0009136787,0.0001571931,0.007916783,0.8206689,0.03010138],"study_design_scores_gemma":[0.0009213999,0.00004967496,0.002244609,0.06590755,0.0009120793,0.0002612635,0.0005212789,0.0006354843,0.0001772408,0.01493893,0.9132889,0.0001415552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0003160417,0.018228,0.009080469,0.009253571,0.003116484,0.007420509,0.9312661,0.006185737,0.01513289],"genre_scores_gemma":[0.0108791,0.04477523,0.1326564,0.0141345,0.00155741,0.1848515,0.5823835,0.006718679,0.02204384],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9714411,"threshold_uncertainty_score":0.9616298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00865333064648189,"score_gpt":0.2203233108896341,"score_spread":0.2116699802431523,"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."}}