{"id":"W3204246893","doi":"10.18260/1-2--38295","title":"EMBER: Bridging academic, social, and personal skills of students in transition to university","year":2024,"lang":"en","type":"article","venue":"","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Directorate for STEM Education; Mitacs; McMaster University","keywords":"Mentorship; Curriculum; Summative assessment; Engineering education; Mathematics education; Medical education; Asynchronous communication; Competence (human resources); Psychology; Pedagogy; Computer science; Engineering; Engineering management; Formative assessment; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003273141,0.0006639764,0.0005946848,0.001294156,0.003550985,0.004677307,0.001226355,0.001103654,0.08540324],"category_scores_gemma":[0.005946476,0.0003058378,0.0003282173,0.0006743448,0.001272733,0.003253716,0.006519475,0.002529389,0.01847945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143776,"about_ca_system_score_gemma":0.005266313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001686899,"about_ca_topic_score_gemma":0.004829371,"domain_scores_codex":[0.9981092,0.000482518,0.00004846937,0.0001651584,0.0003699269,0.000824795],"domain_scores_gemma":[0.9793668,0.0007929697,0.0004072676,0.0002859157,0.001379881,0.01776721],"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":[0.0004560789,0.002445515,0.0347073,0.0002777179,0.0000264841,0.001019844,0.01700567,0.0002043772,0.002908073,0.008652869,0.4433973,0.4888988],"study_design_scores_gemma":[0.00006664929,0.001247759,0.09774383,0.0004363631,0.00003148611,0.001732299,0.06221076,0.001103071,0.003762309,0.005744707,0.8258285,0.0000923132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5822708,0.006290503,0.008118997,0.09662395,0.009514323,0.0003678797,0.002181594,0.003278941,0.2913529],"genre_scores_gemma":[0.5734572,0.002468643,0.00900055,0.006670293,0.001067844,0.0002343398,0.0008221201,0.0006105849,0.4056684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08540324,"threshold_uncertainty_score":0.2857023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006814095461779095,"score_gpt":0.2416699592844315,"score_spread":0.2348558638226524,"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."}}