{"id":"W4400482635","doi":"10.55016/ojs/cpai.v4i2.74186","title":"Remediation: Understanding Academic Integrity","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":"University of British Columbia","funders":"","keywords":"Academic integrity; Environmental remediation; Environmental science; Engineering ethics; Engineering; Biology; Ecology; Contamination","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02601786,0.0008173644,0.0009011861,0.005734152,0.0472958,0.02997274,0.005698867,0.01383512,0.005088535],"category_scores_gemma":[0.05932613,0.0005008354,0.0008223033,0.003750965,0.1382276,0.02970229,0.02094054,0.01884682,0.001022845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08101329,"about_ca_system_score_gemma":0.1161102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4288671,"about_ca_topic_score_gemma":0.326603,"domain_scores_codex":[0.9683087,0.01536123,0.001021427,0.001963261,0.007410298,0.005935092],"domain_scores_gemma":[0.9488469,0.01616227,0.006869763,0.004621691,0.01483123,0.008667927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001813466,0.0000583193,0.003901764,0.0002010958,0.0000114211,0.0006939185,0.3922768,0.0004804594,0.0002380448,0.5533782,0.0143547,0.03438715],"study_design_scores_gemma":[0.00001413246,0.00004174357,0.004461893,0.0009575755,0.00001899529,0.0005492004,0.364931,0.0009149867,0.0005732785,0.3305065,0.2969392,0.00009156408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06939181,0.01242316,0.02509817,0.5928072,0.001345474,0.0002062726,0.00008167867,0.0003065021,0.2983397],"genre_scores_gemma":[0.9571724,0.004888613,0.005004796,0.01710903,0.0003647411,0.00007965579,0.00004777281,0.00008583219,0.01524716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9861649,"threshold_uncertainty_score":0.8527416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08894919807297942,"score_gpt":0.3475683392506201,"score_spread":0.2586191411776407,"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."}}