{"id":"W3201844792","doi":"10.1080/21614083.2021.1984076","title":"Imagining the Future of Learning in Healthcare: The GAME 2019 #FuturistForum","year":2021,"lang":"en","type":"article","venue":"Journal of European CME","topic":"Innovations in Medical Education","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Axdev Group (Canada)","funders":"Daiichi Sankyo Europe; Fogarty International Center; Astellas Pharma US; California Department of Fish and Game; Janssen Pharmaceuticals; AstraZeneca; Daiichi Sankyo Company; Merck","keywords":"Enabling; Health care; Event (particle physics); Pandemic; Coronavirus disease 2019 (COVID-19); Knowledge management; Reflection (computer programming); Psychology; Public relations; Medicine; Political science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002394075,0.00006528335,0.0001744735,0.00009240093,0.00006400161,0.00001667104,0.0001686231,0.0000246196,0.00006628014],"category_scores_gemma":[0.0009728242,0.00003464241,0.0000739161,0.0005023199,0.00007738429,0.00006477907,0.00004450246,0.001232322,0.00001275821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006038446,"about_ca_system_score_gemma":0.0003345188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005723129,"about_ca_topic_score_gemma":0.000002307632,"domain_scores_codex":[0.9984699,0.0003838749,0.0005763642,0.00007068154,0.0003582733,0.0001409092],"domain_scores_gemma":[0.9987094,0.00008555106,0.0004381589,0.0002083979,0.0005241593,0.00003432058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003728684,0.0006420173,0.1049061,0.0003494598,0.0002537106,0.001309442,0.02109384,0.0004194934,0.01080895,0.01346333,0.2833289,0.5630519],"study_design_scores_gemma":[0.001123904,0.0002704525,0.2913203,0.0005469501,0.00005936883,0.001682436,0.01215576,0.0001638509,0.0003792214,0.0002447757,0.6919743,0.00007862701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.540197,0.007166988,0.0002576537,0.4433701,0.002090562,0.0001085737,7.018075e-7,0.000008484477,0.00679993],"genre_scores_gemma":[0.990082,0.0005770257,0.0009309623,0.005008744,0.002285189,3.575372e-7,0.000004097652,0.00001862645,0.001092985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5629733,"threshold_uncertainty_score":0.5353895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170450555163121,"score_gpt":0.3086665536704965,"score_spread":0.2969620481188653,"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."}}