{"id":"W3118532293","doi":"10.5267/j.msl.2020.12.006","title":"Management of Academic Advising in Higher Educational Institutions during COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Higher education; Pandemic; Set (abstract data type); Medical education; Academic year; Psychology; Unit (ring theory); Public relations; Political science; Mathematics education; Computer science; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005457928,0.0002176174,0.0003366274,0.001002037,0.004017079,0.003229643,0.001536215,0.001489219,0.006310961],"category_scores_gemma":[0.02045732,0.000198284,0.000279179,0.001008625,0.0007146489,0.001488411,0.002648318,0.001892745,0.00104412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002892322,"about_ca_system_score_gemma":0.005699696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00411028,"about_ca_topic_score_gemma":0.006374151,"domain_scores_codex":[0.9939939,0.003237407,0.0003720991,0.0002777656,0.0007384167,0.001380397],"domain_scores_gemma":[0.9798329,0.002586282,0.004674264,0.0003418364,0.002487002,0.01007771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005517324,0.001976291,0.5970355,0.0005554719,0.00008415037,0.00839427,0.04316835,0.001269179,0.003003469,0.001511132,0.05282783,0.2896226],"study_design_scores_gemma":[0.00006608963,0.00252453,0.586313,0.000854821,0.00008662589,0.003952271,0.3310329,0.005639364,0.002393017,0.002248986,0.06465191,0.0002364302],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546965,0.001099101,0.002023807,0.02553604,0.0003533403,0.0004007547,0.0003059054,0.0001747692,0.01540977],"genre_scores_gemma":[0.9922251,0.0006511096,0.002219439,0.001309043,0.0001483888,0.0001008527,0.0001232632,0.00001272305,0.003210074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006310961,"threshold_uncertainty_score":0.02886462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09365672630670521,"score_gpt":0.4080543937378103,"score_spread":0.3143976674311051,"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."}}