{"id":"W4409720436","doi":"10.1145/3706599.3706723","title":"Meta-HCI: First Workshop on Meta-Research in HCI","year":2025,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Human–computer interaction","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":[0.001545518,0.000167189,0.0003658609,0.001595553,0.0001914327,0.0001512541,0.001299043,0.0001492408,0.0007491193],"category_scores_gemma":[0.0002150766,0.000120869,0.0001489245,0.003285148,0.0001242233,0.000471014,0.0005684803,0.0009020969,0.0007093985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864786,"about_ca_system_score_gemma":0.0000620863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001083186,"about_ca_topic_score_gemma":0.0007014914,"domain_scores_codex":[0.998112,0.000203583,0.0003258641,0.0005722546,0.0003773762,0.0004089362],"domain_scores_gemma":[0.9978654,0.0008742182,0.00005100583,0.0009022848,0.0002858796,0.00002124833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001011328,0.0001488104,0.00006268148,0.000008345928,0.00142157,0.0000259395,0.0001651837,0.00009170117,0.0001820785,0.9750855,0.01736451,0.005433546],"study_design_scores_gemma":[0.001613231,0.000479528,0.004768169,0.0001746341,0.001059137,0.00002316548,0.0008263743,0.03829635,0.1301967,0.3272911,0.4941835,0.001088094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02563241,0.0005662476,0.390965,0.1258228,0.00179468,0.001148721,0.000002093926,0.001048457,0.4530196],"genre_scores_gemma":[0.9614295,0.00001488888,0.01022636,0.001980403,0.00002275883,0.0003262087,0.000001204373,0.000007967975,0.02599068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9357971,"threshold_uncertainty_score":0.9118119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3586789710122043,"score_gpt":0.440757760643777,"score_spread":0.08207878963157278,"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."}}