{"id":"W4402557414","doi":"10.2139/ssrn.4957164","title":"<p>Behind the scenes of EQA - Characteristics, Capabilities, Benefits and Assets of External Quality Assessment (EQA), Part III - EQA samples</p>","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"External quality assessment; Quality assessment; Medical physics; Nuclear medicine; Medicine; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005978924,0.0006466096,0.0005582976,0.001297034,0.001443482,0.006685811,0.0006448452,0.002410408,0.03712735],"category_scores_gemma":[0.02661411,0.0004374802,0.0006156705,0.003507233,0.002560102,0.006525815,0.001799085,0.005604368,0.01178573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003160155,"about_ca_system_score_gemma":0.004154878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01599313,"about_ca_topic_score_gemma":0.01069701,"domain_scores_codex":[0.9976957,0.00101515,0.0001322293,0.0002719653,0.0007913535,0.00009342212],"domain_scores_gemma":[0.9912298,0.004520006,0.0004493784,0.001501341,0.001941382,0.000358039],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003451022,0.00001697735,0.001044051,0.0000605873,0.00001873009,0.00004048702,0.0001949544,0.0008331966,0.0002299734,0.5833208,0.32961,0.08459575],"study_design_scores_gemma":[0.0000221694,0.00002146678,0.003779071,0.0002058054,0.00001287715,0.00008127248,0.0002973819,0.005524233,0.001081812,0.7620957,0.2268353,0.00004292969],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01236395,0.008074227,0.1579041,0.4121667,0.005817301,0.0002150179,0.01480986,0.001612733,0.3870362],"genre_scores_gemma":[0.4637108,0.009726152,0.2402841,0.03344082,0.005648033,0.0007145957,0.008470713,0.004931564,0.2330732],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9940211,"threshold_uncertainty_score":0.1242033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0717683486181437,"score_gpt":0.3652014542985191,"score_spread":0.2934331056803755,"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."}}