{"id":"W4297515242","doi":"10.36834/cmej.74299","title":"The promises and perils of remote proctoring using artificial intelligence","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02001098,0.0004147998,0.0004348246,0.00133299,0.002598627,0.009684736,0.001488141,0.006824068,0.02035332],"category_scores_gemma":[0.03050958,0.0003915665,0.0004552593,0.001104482,0.01173589,0.02520636,0.005717538,0.009664099,0.004968349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001977834,"about_ca_system_score_gemma":0.002826777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004099571,"about_ca_topic_score_gemma":0.005410802,"domain_scores_codex":[0.9898611,0.004672719,0.0003121773,0.000587856,0.003948032,0.0006179894],"domain_scores_gemma":[0.9500622,0.03780348,0.001423457,0.003867293,0.004271723,0.002571971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003442749,0.0001336853,0.001167747,0.0006474619,0.00003599871,0.0003263061,0.0028005,0.0007826218,0.001518052,0.4637003,0.1877078,0.3408353],"study_design_scores_gemma":[0.00005591892,0.0002006504,0.002269727,0.001256794,0.00003383035,0.0009797257,0.004327238,0.001886289,0.002225421,0.2468867,0.7397458,0.0001318249],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.009823717,0.131198,0.02663669,0.6338065,0.005568267,0.00004266552,0.0002229125,0.000669267,0.192032],"genre_scores_gemma":[0.5528126,0.1720271,0.03874483,0.09670427,0.01479011,0.0002004479,0.00033741,0.0008583278,0.1235249],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02035332,"threshold_uncertainty_score":0.1058294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1504958141428149,"score_gpt":0.4322993433519331,"score_spread":0.2818035292091182,"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."}}