{"id":"W4282577822","doi":"10.1093/intqhc/mzac043","title":"Spanish Abstracts for Volume 32, Issue 7, 2020","year":2022,"lang":"en","type":"article","venue":"International Journal for Quality in Health Care","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Volume (thermodynamics); Medicine; Computer science; Physics; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.002753023,0.0001041392,0.0001850496,0.0001684822,0.000461558,0.0002287617,0.001254727,0.00002689245,0.00009242899],"category_scores_gemma":[0.0003344475,0.0001156432,0.0001477383,0.000134546,0.00001667194,0.0002047454,0.0003116687,0.0003737943,0.00001787352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009934615,"about_ca_system_score_gemma":0.0003359501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002977712,"about_ca_topic_score_gemma":0.0001561338,"domain_scores_codex":[0.9977781,0.0002344392,0.0007594192,0.0002825212,0.0006200484,0.0003254494],"domain_scores_gemma":[0.998513,0.0002536212,0.0004478618,0.0001820152,0.0004709284,0.0001325461],"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":[0.0003886088,0.0005404911,0.005007052,0.0007895677,0.0001796055,0.00008968272,0.02996462,0.04347139,0.0000120759,0.09165619,0.4398111,0.3880896],"study_design_scores_gemma":[0.00101952,0.0003625611,0.002868646,0.00004476807,0.000001957335,0.00004076245,0.003738421,0.008069797,0.00000877769,0.003219394,0.9804797,0.0001456735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01853726,0.003803314,0.4512716,0.4752502,0.04353924,0.00246223,0.0006205883,0.0002594651,0.004256023],"genre_scores_gemma":[0.9482362,0.00009229874,0.03000135,0.009751813,0.001979527,0.0003474489,0.0001513958,0.00003145646,0.009408498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9296989,"threshold_uncertainty_score":0.4715792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04065282734711648,"score_gpt":0.4039153288792527,"score_spread":0.3632625015321362,"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."}}