{"id":"W6904462281","doi":"10.1371/journal.pone.0100305.t002","title":"Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomized trials.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Scale (ratio); Measure (data warehouse); Data quality; Reliability (semiconductor)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01183652,0.000727171,0.003454254,0.0002311846,0.0002185184,0.0003994261,0.001848907,0.0007922279,0.1040516],"category_scores_gemma":[0.1442455,0.000479526,0.001376158,0.0004329306,0.00005084289,0.0003248884,0.0004623274,0.0007060861,0.01066254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002344621,"about_ca_system_score_gemma":0.001534518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003834031,"about_ca_topic_score_gemma":0.0006779348,"domain_scores_codex":[0.990616,0.004079066,0.002549953,0.0007545461,0.001366636,0.0006337712],"domain_scores_gemma":[0.9799613,0.01059418,0.005262272,0.002252087,0.001687184,0.0002429323],"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":[0.001503942,0.0001644168,3.48145e-7,0.001770755,0.0002465283,0.000002320103,0.00003157221,0.000007671575,0.00004835526,2.818153e-7,0.996004,0.0002197801],"study_design_scores_gemma":[0.02127688,0.00005016185,0.00002679173,0.003689419,0.0004438365,0.0000047217,0.0000590155,0.00003400469,0.0001494188,0.00004951735,0.9736667,0.0005495389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000005162636,0.001224456,0.000002045416,0.00005194976,0.000326009,0.004407763,0.9936302,0.00009355046,0.0002588266],"genre_scores_gemma":[0.00002283349,0.000002649401,0.0001607911,0.00009654271,0.001315004,0.002111592,0.9959535,0.0001715591,0.0001655275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.132409,"threshold_uncertainty_score":0.9997656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4247109881476141,"score_gpt":0.500511225850887,"score_spread":0.07580023770327293,"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."}}