{"id":"W6961051606","doi":"10.1371/journal.pone.0088753.t001","title":"Newcastle–Ottawa quality assessment scale&lt;sup&gt;*&lt;/sup&gt;.","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Quality assessment; Selection (genetic algorithm); Quality (philosophy); Scale (ratio); Outcome (game theory)","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"],"consensus_categories":[],"category_scores_codex":[0.009594343,0.0009885447,0.002905113,0.005218643,0.0006255139,0.001852768,0.003024532,0.0009897004,0.1562017],"category_scores_gemma":[0.08685979,0.000691506,0.00359059,0.008294559,0.0005091582,0.002003497,0.002154697,0.001832803,0.02047039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003686553,"about_ca_system_score_gemma":0.00730096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244257,"about_ca_topic_score_gemma":0.04430068,"domain_scores_codex":[0.9901466,0.002086279,0.004698568,0.001370621,0.001310669,0.000387241],"domain_scores_gemma":[0.9509314,0.02498501,0.009058874,0.003712052,0.01032838,0.0009842415],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007690286,0.00005747048,0.00905735,0.02646084,0.001259272,0.00003231352,0.0001461277,0.0006209544,0.00007577766,0.001511535,0.9438098,0.01619952],"study_design_scores_gemma":[0.008252966,0.0002631868,0.1620772,0.0241299,0.002780661,0.0002288904,0.0004543881,0.00133795,0.0003520295,0.007244653,0.7925955,0.0002826289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004174269,0.0004037808,0.0004607583,0.0001675399,0.00004271951,0.0005151407,0.9968818,0.00007190061,0.001038963],"genre_scores_gemma":[0.0105022,0.0009448733,0.003756927,0.0003194742,0.0000432998,0.01182992,0.9697869,0.0002228616,0.002593653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9904057,"threshold_uncertainty_score":0.5225467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1761334777285573,"score_gpt":0.404675125201279,"score_spread":0.2285416474727217,"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."}}