{"id":"W4392864805","doi":"10.1145/3624730","title":"Who Determines What Is Relevant? Humans or AI? Why Not Both?","year":2024,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Australian Research Council","keywords":"Relevance (law); Computer science; Artificial intelligence; Data science; Political science","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":[0.03899139,0.0005859385,0.001419617,0.008514672,0.003477993,0.0103029,0.001511344,0.003768436,0.00385655],"category_scores_gemma":[0.2476341,0.0005396987,0.0005729192,0.003601666,0.01132151,0.0189213,0.006969222,0.004078934,0.0009500065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002607557,"about_ca_system_score_gemma":0.004523344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005033634,"about_ca_topic_score_gemma":0.005917581,"domain_scores_codex":[0.9591687,0.02699758,0.001857804,0.002760776,0.007930527,0.001284627],"domain_scores_gemma":[0.8059725,0.1575312,0.01055532,0.006181865,0.014097,0.005662304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008892722,0.0004114489,0.1448112,0.002413575,0.0006749135,0.001342452,0.04749291,0.001104187,0.003634597,0.2120214,0.029194,0.5560099],"study_design_scores_gemma":[0.0001268118,0.0002624136,0.05917355,0.002254104,0.0004473799,0.001792933,0.05273309,0.006903168,0.002215442,0.8153574,0.05848467,0.0002490868],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.3289274,0.1069017,0.121665,0.2153786,0.001562882,0.0005225379,0.0003887807,0.0005809789,0.2240721],"genre_scores_gemma":[0.9710547,0.005893216,0.01684366,0.004567033,0.0004895015,0.00008030111,0.00006767439,0.00007517638,0.0009287529],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03899139,"threshold_uncertainty_score":0.2062086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09904252942343997,"score_gpt":0.3619512889113444,"score_spread":0.2629087594879044,"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."}}