{"id":"W7093678278","doi":"","title":"9781000862577.pdf","year":2023,"lang":"en","type":"other","venue":"OAPEN (The OAPEN Foundation)","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Audit; Discipline; Field (mathematics); Performance audit","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005395672,0.000830282,0.0008425672,0.002878422,0.001300884,0.01409929,0.001724178,0.002909412,0.8457451],"category_scores_gemma":[0.01927112,0.0004680743,0.0006225906,0.004576655,0.00126295,0.005568676,0.004938702,0.002233117,0.7520427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002643615,"about_ca_system_score_gemma":0.003532565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002430939,"about_ca_topic_score_gemma":0.003093173,"domain_scores_codex":[0.9967077,0.0008846755,0.0003131642,0.0003290131,0.001522387,0.0002430052],"domain_scores_gemma":[0.9915307,0.003448708,0.0004018846,0.0009096214,0.002576625,0.001132535],"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":[0.00003171847,0.0000345833,0.000131802,0.000363587,0.000004148379,0.00002896611,0.00008551803,0.0001262156,0.0001125893,0.01533552,0.6987619,0.2849835],"study_design_scores_gemma":[0.000006900206,0.000007308498,0.0001761654,0.0003596592,0.000001149554,0.00002945322,0.00005571119,0.00005528871,0.00009507072,0.002359981,0.996847,0.000006334177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000274444,0.001693221,0.003071644,0.004584512,0.001677912,0.0001705969,0.003935846,0.001426922,0.9831648],"genre_scores_gemma":[0.002424671,0.002692951,0.002505454,0.001184071,0.0004691985,0.0002410454,0.003182782,0.001362657,0.9859372],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1542549,"threshold_uncertainty_score":0.2200258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.194678352106037,"score_gpt":0.4914896753800274,"score_spread":0.2968113232739904,"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."}}