{"id":"W3124050705","doi":"10.12688/f1000research.40666.1","title":"6th European Student Council Symposium (ESCS): overcoming obstacles to enhance virtuality, connectivity, inclusivity and community engagement","year":2021,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Virtuality (gaming); Political science; Face (sociological concept); Library science; Social media; Event (particle physics); Public relations; Operations research; Sociology; Computer science; Social science; Law; Engineering; Physics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007405904,0.0003904807,0.0004527543,0.0001703024,0.0004479255,0.0004584643,0.0008567131,0.0002063604,0.00007873168],"category_scores_gemma":[0.0006972102,0.0004252563,0.00008130863,0.0003012548,0.0001258871,0.0001186159,0.006513488,0.003545835,0.00004428175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00247648,"about_ca_system_score_gemma":0.0004186707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602959,"about_ca_topic_score_gemma":0.0006967974,"domain_scores_codex":[0.995525,0.001557191,0.0004047702,0.0005084447,0.001416713,0.0005879059],"domain_scores_gemma":[0.9973043,0.0008205139,0.0000387688,0.001034336,0.0003451984,0.0004568436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001591636,0.005700843,0.01044508,0.04115777,0.002547657,0.000434843,0.2512241,0.1066416,0.4302397,0.0008841644,0.04891092,0.1016541],"study_design_scores_gemma":[0.00225194,0.001120333,0.6612123,0.009240489,0.0003525617,0.00006246693,0.0250771,0.05461617,0.05221051,0.00153447,0.185442,0.006879625],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810622,0.0009923754,0.007176147,0.0009836768,0.001464788,0.0006708147,0.00008190599,0.0004723322,0.007095792],"genre_scores_gemma":[0.9974697,0.0007466876,0.0006111636,0.0001124426,0.0003713158,0.0001275484,0.00009510794,0.0001027577,0.0003633054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6507672,"threshold_uncertainty_score":0.9998199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09181802545540393,"score_gpt":0.3440566710524312,"score_spread":0.2522386455970272,"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."}}