{"id":"W2800696236","doi":"10.2196/mededu.9365","title":"Consensus on Quality Indicators of Postgraduate Medical E-Learning: Delphi Study","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Innovations in Medical Education","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Delphi method; Quality (philosophy); Delphi; Set (abstract data type); Medical education; Computer science; Foundation (evidence); Psychology; Medicine; Artificial intelligence; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003392045,0.0002404729,0.0005090781,0.0006940974,0.0001808752,0.00001281589,0.0003442896,0.0004656025,0.004739643],"category_scores_gemma":[0.03244909,0.0002011044,0.00009651939,0.001670741,0.001031585,0.00004410139,0.00007621005,0.001190234,0.0002727133],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002258645,"about_ca_system_score_gemma":0.005701608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001514862,"about_ca_topic_score_gemma":0.00001930943,"domain_scores_codex":[0.993865,0.0004667693,0.001261612,0.0005185899,0.003523068,0.0003649244],"domain_scores_gemma":[0.9969761,0.000328184,0.0004947666,0.0006685859,0.0009629415,0.0005693559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008128705,0.02227419,0.2882297,0.0003401107,0.0002196119,0.0000219721,0.01145304,1.804395e-7,0.0001168197,0.007552582,0.1250937,0.5438852],"study_design_scores_gemma":[0.004958313,0.00565546,0.9024783,0.001226006,0.0001678037,0.000154713,0.01977916,0.000451302,0.0006382283,0.000501082,0.06349581,0.0004937563],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552847,0.00003087389,0.00005253666,0.03438745,0.001748059,0.001088575,0.000001372558,0.0001218117,0.007284628],"genre_scores_gemma":[0.9884382,0.00001236418,0.0005089155,0.008442239,0.001549008,0.0002173064,0.0001112559,0.00003665046,0.0006840415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6142486,"threshold_uncertainty_score":0.9999352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781974763239893,"score_gpt":0.4421433845956952,"score_spread":0.4143236369632963,"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."}}