{"id":"W4400482821","doi":"10.55016/ojs/cpai.v5i1.75129","title":"Getting off the beaten path: Authentic assessments that enhance teaching, learning and academic integrity","year":2022,"lang":"en","type":"article","venue":"Canadian Perspectives on Academic Integrity","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Red River College","funders":"","keywords":"Academic integrity; Path (computing); Structural integrity; Psychology; Mathematics education; Engineering ethics; Computer science; Engineering; Social psychology","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":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01565386,0.0003009897,0.0002943312,0.0003505067,0.006990527,0.0001958686,0.00122282,0.0004223484,0.0008406565],"category_scores_gemma":[0.01080686,0.0002715621,0.0001155749,0.0003371543,0.000656264,0.0007050025,0.0002593427,0.02713196,0.00004295338],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003892683,"about_ca_system_score_gemma":0.001944561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2082235,"about_ca_topic_score_gemma":0.02898929,"domain_scores_codex":[0.9907769,0.00590911,0.0003798044,0.0008163397,0.001260568,0.0008572732],"domain_scores_gemma":[0.9967756,0.001813715,0.00049935,0.0002803127,0.0001363598,0.0004946327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000751759,0.00008746447,0.1172623,0.00002043071,0.0001741093,0.00002250996,0.5654871,0.0000711074,0.0003998511,0.2549687,0.01042321,0.051008],"study_design_scores_gemma":[0.0002523429,0.0001540175,0.02275725,0.0001049816,0.00007910972,0.00001682836,0.6516793,0.001274563,0.00003203766,0.006470854,0.3166639,0.0005148284],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.870581,0.002568884,0.0001002277,0.08349697,0.0007799283,0.0007444405,0.00004255313,0.000198883,0.04148707],"genre_scores_gemma":[0.9900222,0.0008359972,0.0002529481,0.002043398,0.0004113102,0.0001033105,0.00001126048,0.00003636503,0.006283177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3062407,"threshold_uncertainty_score":0.9999737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0948172656268362,"score_gpt":0.4458802513881505,"score_spread":0.3510629857613143,"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."}}