{"id":"W4403447850","doi":"10.1109/vl/hcc60511.2024.00039","title":"Age-Inclusive Integrated Development Environments for End-Users","year":2024,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; End-user development; End user; World Wide Web","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":[0.004108093,0.0006489052,0.0002979593,0.000685724,0.001091012,0.002252448,0.001310405,0.000725773,0.005562722],"category_scores_gemma":[0.01069322,0.0003809208,0.0004051626,0.0003459451,0.0008093636,0.002873046,0.007006064,0.0006991809,0.001673117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003973144,"about_ca_system_score_gemma":0.001171958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004314032,"about_ca_topic_score_gemma":0.001357698,"domain_scores_codex":[0.9983346,0.0007747372,0.000137682,0.0002399841,0.0002986021,0.0002143959],"domain_scores_gemma":[0.9947835,0.001699773,0.0006129377,0.0009073499,0.0005953896,0.001401052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000929059,0.003932509,0.1149685,0.0009537377,0.00009813703,0.002927865,0.1087535,0.002391855,0.03539963,0.01293999,0.0149646,0.7017406],"study_design_scores_gemma":[0.0006843896,0.00670542,0.2086064,0.001388758,0.0003858671,0.009439872,0.06467793,0.01388202,0.03301093,0.06365797,0.5971685,0.0003918734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7996188,0.0007684106,0.1635775,0.001239705,0.0000933988,0.0006652529,0.0002981849,0.003462597,0.03027613],"genre_scores_gemma":[0.7878273,0.000570564,0.198721,0.0005360898,0.0000426622,0.0007724462,0.0003573919,0.0003080305,0.01086462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005562722,"threshold_uncertainty_score":0.02172589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667280114600296,"score_gpt":0.2992900942513604,"score_spread":0.2826172931053575,"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."}}