{"id":"W2997690315","doi":"10.11575/cpai.v1i1.43358","title":"Editorial","year":2018,"lang":"en","type":"editorial","venue":"University of Calgary","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scope (computer science); Context (archaeology); Academic integrity; Library science; Research integrity; Political science; Engineering ethics; Media studies; Sociology; Environmental ethics; History; Engineering; Public relations; Computer science; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001126434,0.0001152937,0.0002583826,0.00008857045,0.0004705446,0.00001276713,0.0007722306,0.004952704,0.001235126],"category_scores_gemma":[0.001397793,0.0001460265,0.000142133,0.0001140118,0.0009668432,0.0001368654,0.0001148825,0.002129059,0.0002304726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761503,"about_ca_system_score_gemma":0.001587967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02568643,"about_ca_topic_score_gemma":0.002678541,"domain_scores_codex":[0.9979625,0.000250141,0.0001056526,0.0002228007,0.001217967,0.0002409563],"domain_scores_gemma":[0.9981557,0.0007417972,0.0001799578,0.0001563534,0.0006476566,0.0001185792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007366923,0.00001263776,0.000003581966,0.00001545474,0.00002750252,0.000004767458,0.004628133,2.324835e-8,0.000001283466,0.001862744,0.9928377,0.0005324867],"study_design_scores_gemma":[0.0002120474,0.00003797918,9.753269e-7,0.00005893977,0.00005504037,2.922561e-8,0.001121236,0.000001690611,0.000002051691,0.0008435422,0.997518,0.0001484493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000007551565,0.00004147355,0.0002085396,0.000104305,0.7962543,0.00007668896,0.00005833087,0.00004163081,0.2032072],"genre_scores_gemma":[0.000004740705,0.0005892496,0.0003345193,0.000009418875,0.966199,3.269118e-8,0.0001016632,0.000007143252,0.03275419],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.170453,"threshold_uncertainty_score":0.9996779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007087247262283135,"score_gpt":0.237879148582274,"score_spread":0.2307919013199908,"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."}}