{"id":"W4400482819","doi":"10.55016/ojs/cpai.v4i1.72824","title":"Proactive not punitive: Approaching academic integrity from an educational perspective","year":2021,"lang":"en","type":"article","venue":"Canadian Perspectives on Academic Integrity","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Polytechnic; University of Saskatchewan","funders":"","keywords":"Punitive damages; Perspective (graphical); Academic integrity; Engineering ethics; Psychology; Political science; Computer science; Engineering; Law; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0182599,0.0005967817,0.0005087638,0.005600073,0.02851701,0.02757384,0.002844323,0.005756413,0.004017156],"category_scores_gemma":[0.02480804,0.0006001076,0.000426893,0.004112952,0.04774284,0.01363667,0.01502902,0.01214789,0.0006791464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03483271,"about_ca_system_score_gemma":0.06430703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0898215,"about_ca_topic_score_gemma":0.1969206,"domain_scores_codex":[0.9721514,0.01742874,0.0007785521,0.001067444,0.005405699,0.003168167],"domain_scores_gemma":[0.9590349,0.01815032,0.004425116,0.002395774,0.007865435,0.008128594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004102464,0.000164572,0.01121442,0.0006090975,0.00002959686,0.002270826,0.6763009,0.0004394516,0.001766676,0.2321831,0.007238233,0.06774225],"study_design_scores_gemma":[0.000009598602,0.000120768,0.005901235,0.0009107885,0.00002879389,0.001334265,0.7545395,0.0003086409,0.002669927,0.05267202,0.1814507,0.00005369696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.2723061,0.01311779,0.03837889,0.2532255,0.0008488101,0.0002372284,0.00008928936,0.000336053,0.4214603],"genre_scores_gemma":[0.9635226,0.005011491,0.00854708,0.008899444,0.0001179097,0.00006152486,0.00002381001,0.00006274437,0.01375332],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.0898215,"threshold_uncertainty_score":0.2527303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05648466931229684,"score_gpt":0.3693229868471757,"score_spread":0.3128383175348788,"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."}}