{"id":"W4413405229","doi":"10.64628/aam.ccg3dc6ty","title":"Is AI coming for your creative job? Maybe not – with some human intervention","year":2025,"lang":"en","type":"article","venue":"","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Intervention (counseling); Business; Management; Psychology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003162252,0.0001399172,0.000171029,0.0001792776,0.0003175944,0.0002880829,0.0006537467,0.00005114419,0.0000750155],"category_scores_gemma":[0.00004107915,0.0001177482,0.0001031457,0.0003422009,0.00006034646,0.0009549001,0.000208848,0.0001036369,0.0000502113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008819055,"about_ca_system_score_gemma":0.00004616188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005765593,"about_ca_topic_score_gemma":0.0001531634,"domain_scores_codex":[0.9988136,0.00004002579,0.0002773978,0.0004161355,0.0001582212,0.0002946788],"domain_scores_gemma":[0.999133,0.00008926562,0.00007844121,0.0004235228,0.0002264661,0.00004928953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003133363,0.00009475066,0.0003864603,0.000045807,0.00005081964,0.000004466775,0.002124767,0.00005482994,0.002418037,0.9770092,0.005634395,0.01214511],"study_design_scores_gemma":[0.0007014251,0.0007831522,0.002227911,0.0003323031,0.00003660362,0.000003867022,0.003413564,0.0836966,0.7310989,0.1699126,0.007325621,0.0004674229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03275165,0.00002392738,0.9500253,0.00561846,0.0001742712,0.0004027763,0.000002827595,0.0001629303,0.01083788],"genre_scores_gemma":[0.9353185,0.000001786642,0.02260694,0.004021347,0.00004690253,0.00009934674,0.000002630876,0.00001005096,0.03789247],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9274184,"threshold_uncertainty_score":0.480163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05667200901917933,"score_gpt":0.3686632251858567,"score_spread":0.3119912161666774,"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."}}