{"id":"W6960651931","doi":"10.1371/journal.pone.0282224.s001","title":"PRISMA 2020 checklist.","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Victimisation; Peer victimization; Inclusion (mineral); Longitudinal study; Poison control; Human factors and ergonomics; Empirical research; Injury prevention","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":[0.06080406,0.003833008,0.008373751,0.01490533,0.002358247,0.006237873,0.008915137,0.004616752,0.3841816],"category_scores_gemma":[0.1497974,0.00523945,0.0157922,0.01280249,0.002295551,0.004033786,0.006497875,0.006629647,0.0367103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007048374,"about_ca_system_score_gemma":0.04457904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01747178,"about_ca_topic_score_gemma":0.02085105,"domain_scores_codex":[0.9495878,0.02216262,0.01951958,0.003624382,0.003925078,0.001180552],"domain_scores_gemma":[0.8763601,0.08157899,0.0103904,0.009393526,0.0209714,0.001305631],"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":[0.001493647,0.0001128378,0.0007061934,0.4779696,0.002545586,0.0001796406,0.0009412433,0.0008805666,0.0003404841,0.00777758,0.4529573,0.05409532],"study_design_scores_gemma":[0.009822133,0.0002497898,0.005304063,0.1865783,0.005270831,0.000445247,0.001540742,0.002088566,0.0007983103,0.02419625,0.7632391,0.0004667128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.001074403,0.01045401,0.02311121,0.009009525,0.003431806,0.1527685,0.7780913,0.01039708,0.01166211],"genre_scores_gemma":[0.003769163,0.005431737,0.1172971,0.002411959,0.0002224313,0.8109278,0.04991563,0.001808908,0.008215224],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9391959,"threshold_uncertainty_score":0.8783903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215730588286433,"score_gpt":0.206128107730265,"score_spread":0.1739708018474006,"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."}}