{"id":"W4214876806","doi":"10.1007/978-3-030-83255-1_12","title":"Academic Integrity in Work-Integrated Learning (WIL) Settings","year":2022,"lang":"en","type":"book-chapter","venue":"Ethics and integrity in educational contexts","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber Polytechnic","funders":"University of Guelph","keywords":"Professionalization; Service-learning; Public relations; Experiential learning; Work (physics); Promotion (chess); Professional development; Political science; Service (business); Pedagogy; Medical education; Psychology; Engineering ethics; Business; Medicine; Engineering; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.01682354,0.0005721752,0.0007907966,0.0007365473,0.001200365,0.0001484517,0.0009030732,0.007366776,0.006570036],"category_scores_gemma":[0.01585512,0.0006178995,0.0001940491,0.0003959636,0.001184197,0.0004505048,0.0002715383,0.1229335,0.0001058252],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596032,"about_ca_system_score_gemma":0.005797644,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045801,"about_ca_topic_score_gemma":0.01650596,"domain_scores_codex":[0.993856,0.00190575,0.001146767,0.0009588936,0.00141193,0.0007207133],"domain_scores_gemma":[0.9904522,0.00785,0.0005487594,0.0002395632,0.0006300638,0.0002793553],"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":[0.00007355538,0.00005791837,0.006175844,0.0000627324,0.00003139421,0.0000104302,0.05647825,0.000006483539,0.000002339518,0.9145319,0.01423183,0.008337265],"study_design_scores_gemma":[0.0002349375,0.00004051531,0.001575725,0.001239576,0.00001966508,0.000006522222,0.008378344,0.00001852763,0.000001158459,0.2073457,0.7805908,0.0005484978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009058365,0.009889088,0.00003633811,0.2167708,0.003583045,0.00120691,0.0002040728,0.0001349,0.7591165],"genre_scores_gemma":[0.3117199,0.02538918,0.0005508366,0.008113155,0.001853177,0.0001790176,0.000917328,0.000121277,0.6511561],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.766359,"threshold_uncertainty_score":0.9998386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06875605823475357,"score_gpt":0.3698491167901975,"score_spread":0.3010930585554439,"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."}}