{"id":"W4412977791","doi":"10.1016/j.forsciint.2025.112589","title":"A response to EA-4/23 INF:2025 “The Assessment and Accreditation of Opinions and Interpretations using ISO/IEC 17025:2017”","year":2025,"lang":"en","type":"letter","venue":"Forensic Science International","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Innovation and Economic Development Trois Rivières","funders":"","keywords":"Accreditation; Engineering; Medicine; Medical education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008085817,0.0002464614,0.0003722201,0.001949367,0.0005565255,0.002482237,0.003700835,0.000262211,0.00006939298],"category_scores_gemma":[0.01905289,0.0001731471,0.00009511848,0.001943805,0.001490211,0.002103861,0.001717778,0.001001279,0.00001204785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002852998,"about_ca_system_score_gemma":0.001798886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002217268,"about_ca_topic_score_gemma":0.00004532246,"domain_scores_codex":[0.9940651,0.000335893,0.001006287,0.0009687227,0.003279633,0.0003443866],"domain_scores_gemma":[0.9916205,0.005178122,0.0007068635,0.0006547176,0.001718524,0.0001212487],"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":[0.00006583511,0.00001084417,0.003720369,0.000007119821,0.00003705701,0.00000675104,0.001687567,0.0002607665,0.000244179,0.001761549,0.9823605,0.009837481],"study_design_scores_gemma":[0.0006946608,0.0002064245,0.1313406,0.0009705133,0.00008709508,0.0001271133,0.003059343,0.07988548,0.0002777647,0.04016146,0.742518,0.0006715324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1202384,0.00004564286,0.02085855,0.8474335,0.006227182,0.0005742502,0.0005445155,0.00002851191,0.00404944],"genre_scores_gemma":[0.6228479,0.00002887845,0.03014806,0.3345549,0.001819496,0.0001274569,0.0002505414,0.00003223045,0.01019054],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5128786,"threshold_uncertainty_score":0.9985533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.115477597542679,"score_gpt":0.4834602299148885,"score_spread":0.3679826323722096,"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."}}