{"id":"W6884669082","doi":"10.11575/cpai.v1i2.54599.g42964","title":"Academic Integrity across the Canadian Landscape","year":2018,"lang":"en","type":"article","venue":"University of Calgary","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Academic integrity; Nature versus nurture; Center (category theory); Personal Integrity; Data integrity","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009824868,0.0005068492,0.0007716336,0.005360969,0.08905559,0.0242472,0.003233113,0.004110732,0.0162984],"category_scores_gemma":[0.02419854,0.000549164,0.0006795812,0.009915561,0.02831659,0.00650668,0.01345116,0.008686647,0.001225274],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2219857,"about_ca_system_score_gemma":0.4791223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900136,"about_ca_topic_score_gemma":0.9951624,"domain_scores_codex":[0.9786159,0.003220476,0.0004771494,0.001651884,0.008343933,0.007690629],"domain_scores_gemma":[0.9524001,0.003323027,0.002043991,0.001173612,0.02098028,0.02007898],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001242908,0.0001108806,0.02463852,0.0004445451,0.00006584482,0.001247637,0.09138676,0.000746165,0.0006975326,0.5043234,0.1752982,0.2009162],"study_design_scores_gemma":[0.00002162832,0.00005183784,0.03730062,0.0008783767,0.00004698127,0.0003603211,0.09369723,0.0003615279,0.0003984213,0.02446868,0.8422271,0.0001872626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.106105,0.01838286,0.002425948,0.3694952,0.001632417,0.0001330311,0.0005763768,0.000279035,0.5009703],"genre_scores_gemma":[0.9024404,0.01308566,0.001999471,0.02573084,0.0003275655,0.00005379536,0.0002502066,0.0001533715,0.05595866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9958892,"threshold_uncertainty_score":0.9023863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02105749834119296,"score_gpt":0.2732196085520171,"score_spread":0.2521621102108241,"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."}}