{"id":"W7110911185","doi":"10.1371/journal.pone.0325064.s003","title":"PRISMA 2020 Checklist.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Checklist; Quality of life (healthcare); Socioeconomic status; Psychological intervention; Population; Scale (ratio); Thematic analysis; Population ageing; Inclusion (mineral)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0003463778,0.000324154,0.0004615246,0.0001510167,0.001513703,0.00002644263,0.001440044,0.001300907,0.7087982],"category_scores_gemma":[0.01085354,0.0003406825,0.0001854479,0.0009334757,0.00008226831,0.0001061616,0.00222446,0.002675831,0.03073196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428428,"about_ca_system_score_gemma":0.001502934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001957114,"about_ca_topic_score_gemma":0.00006362522,"domain_scores_codex":[0.9968028,0.0008224943,0.0009153881,0.0006199233,0.000181107,0.000658281],"domain_scores_gemma":[0.9948714,0.001468536,0.0004400412,0.002435978,0.0006281753,0.0001558451],"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":[0.0000277311,0.0001764299,0.002976019,0.001049207,0.00006201106,0.000004344172,0.0002098528,2.656109e-7,0.00000943629,0.001003986,0.9782303,0.01625041],"study_design_scores_gemma":[0.000568838,0.00002869131,0.1264642,0.006472368,0.00003125126,6.136449e-7,0.0007569212,0.000188332,0.00009864297,0.0005500516,0.8646209,0.0002191691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0005044182,0.007921828,0.00003436973,0.03532865,0.001132467,0.002975392,0.3648302,0.0008944395,0.5863782],"genre_scores_gemma":[0.6790442,0.0003238894,0.0006242666,0.01280969,0.0003077105,0.003531772,0.1365831,0.00006379221,0.1667116],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6785398,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09901567889699998,"score_gpt":0.4342762761309628,"score_spread":0.3352605972339628,"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."}}