{"id":"W6998609502","doi":"","title":"AI och redovisning: en yrkesroll i förändring : redovisares uppfattningar, användningsområden, och krav på kompetensutveckling till följd av AI","year":2025,"lang":"sv","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ArcelorMittal (Canada)","funders":"","keywords":"Job market; Order (exchange); Internship","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01045489,0.00110591,0.0008446939,0.00196543,0.00368431,0.01537796,0.002379416,0.00319459,0.05881595],"category_scores_gemma":[0.0337827,0.000720196,0.001341504,0.002943822,0.003293219,0.01223639,0.005965232,0.004477374,0.02631325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004630711,"about_ca_system_score_gemma":0.00686836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01190163,"about_ca_topic_score_gemma":0.01458744,"domain_scores_codex":[0.9857548,0.004848125,0.0007548016,0.002259777,0.005060347,0.00132216],"domain_scores_gemma":[0.9646783,0.01586947,0.002891243,0.005679816,0.007363091,0.003518003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001123862,0.001357312,0.04727302,0.003857221,0.0002375527,0.001286965,0.05346068,0.001532252,0.009062106,0.05358974,0.1813123,0.6459069],"study_design_scores_gemma":[0.00007655275,0.0004579235,0.04195881,0.001698472,0.0002056303,0.0006585086,0.03155375,0.001276423,0.007342186,0.02134047,0.8931917,0.0002395352],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2786944,0.01487087,0.04226765,0.04372153,0.003877059,0.0009662053,0.004582294,0.004066168,0.6069538],"genre_scores_gemma":[0.659804,0.009317954,0.04394283,0.009025618,0.001068112,0.0007850972,0.005487703,0.002316857,0.2682518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05881595,"threshold_uncertainty_score":0.196759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510369275644098,"score_gpt":0.2778302581844516,"score_spread":0.2627265654280106,"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."}}