{"id":"W3000464218","doi":"10.1139/facets-2019-0031","title":"Perspectives for early-career researchers on plagiarism and scientific integrity","year":2020,"lang":"en","type":"article","venue":"FACETS","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Research integrity; Realm; Engineering ethics; Scientific integrity; Transparency (behavior); Academic integrity; Accreditation; Psychology; Scientific misconduct; Political science; Medical education; Medicine; Engineering; Alternative medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","research_integrity"],"domain":"methods","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002058375,0.00009748986,0.000133657,0.0000598042,0.0009187564,0.0002621054,0.0003074061,0.0005606829,0.0001721322],"category_scores_gemma":[0.003784982,0.00008901229,0.00005716796,0.000236817,0.000784243,0.0002132462,0.00006043537,0.001793065,0.0001020515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008513509,"about_ca_system_score_gemma":0.0001993462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009549128,"about_ca_topic_score_gemma":0.0001791043,"domain_scores_codex":[0.9983525,0.0002414199,0.000110404,0.0003986177,0.0005050863,0.0003920139],"domain_scores_gemma":[0.9989265,0.0004343644,0.00003749751,0.0000984652,0.0002112755,0.0002919119],"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":[0.0002258312,0.00005834788,0.005237494,0.00004255722,0.00004669428,0.000004627241,0.5688891,0.000002828213,0.0009038396,0.2768862,0.1402226,0.007479901],"study_design_scores_gemma":[0.0007829004,0.0003692331,0.008506445,0.00006600588,0.00002156856,6.059884e-7,0.1766494,0.0005127345,0.001136522,0.02012978,0.7914135,0.0004112295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8875058,0.0007007288,0.000872624,0.08356452,0.0003515618,0.000716072,0.0001019471,0.0001260078,0.02606077],"genre_scores_gemma":[0.9944924,0.00005308652,0.0005559583,0.0004929801,0.0003328543,0.00001718221,0.000005760357,0.000008847891,0.004040931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6511909,"threshold_uncertainty_score":0.7790076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1884765245818609,"score_gpt":0.3818196386363831,"score_spread":0.1933431140545222,"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."}}