{"id":"W6904401493","doi":"10.1371/journal.pone.0276701.s004","title":"Newcastle-Ottawa quality assessment scale for cross-sectional studies.","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Quality (philosophy); Quality assessment; Measure (data warehouse); Data quality","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005658834,0.0001457944,0.000276502,0.00009197251,0.001112544,0.0003093108,0.0009068103,0.00004143439,0.3132246],"category_scores_gemma":[0.008553163,0.0001175691,0.0002885016,0.0004219468,0.00002366429,0.0002154043,0.0006135585,0.0002262939,0.0006870659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004071081,"about_ca_system_score_gemma":0.0001919637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007533021,"about_ca_topic_score_gemma":0.00003178519,"domain_scores_codex":[0.9946362,0.0004072499,0.0008879346,0.0006857917,0.003078578,0.0003042697],"domain_scores_gemma":[0.9955282,0.00234103,0.0003613382,0.0006339691,0.001037509,0.0000979293],"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":[0.0000285905,0.0001736316,0.07006221,0.00004542771,0.0000288586,0.000001181467,0.0001458453,0.00254278,0.00006462703,0.0001304405,0.9241288,0.002647575],"study_design_scores_gemma":[0.0004342524,0.0001339502,0.3380051,0.00001975125,0.000002638373,0.000001984234,0.0006511794,0.000403952,0.00006694843,0.007218649,0.6529111,0.0001504988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1445949,0.0009158991,0.0003809008,0.00353734,0.003694373,0.003443824,0.8223052,0.0002285571,0.02089899],"genre_scores_gemma":[0.9584355,0.000001756378,0.001627708,0.00170581,0.0005622734,0.004521335,0.0209479,0.00002456303,0.01217313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8138406,"threshold_uncertainty_score":0.9997982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.706144065715121,"score_gpt":0.5664891265198829,"score_spread":0.1396549391952381,"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."}}