{"id":"W4206319684","doi":"10.3390/app12010479","title":"Context-Aware End-User Development Review","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Personalization; Context (archaeology); End-user development; Implementation; Software deployment; Context management; Adaptation (eye); Software engineering; World Wide Web; Software; Data science; End user; Human–computer interaction; Ubiquitous computing","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":[0.003419108,0.0009387316,0.001006776,0.004638798,0.0004865906,0.002451757,0.002180443,0.001646818,0.006013718],"category_scores_gemma":[0.01274124,0.0005001661,0.001174242,0.004409217,0.0005274767,0.002715822,0.001171138,0.001023568,0.002589458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147506,"about_ca_system_score_gemma":0.004688967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002365229,"about_ca_topic_score_gemma":0.003258771,"domain_scores_codex":[0.9970982,0.0009739781,0.0006104705,0.0002960771,0.0008863744,0.0001348983],"domain_scores_gemma":[0.9833655,0.01256693,0.0007110253,0.0003311773,0.002784523,0.0002409952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007038311,0.00009458193,0.0005048035,0.09451038,0.0001636698,0.0003119623,0.0005037047,0.0005373293,0.0007139239,0.005329452,0.02278237,0.8744774],"study_design_scores_gemma":[0.00001817157,0.0001245415,0.001603741,0.07362931,0.0005513955,0.001227791,0.0005060183,0.0003451348,0.001088002,0.002864343,0.9179975,0.00004401392],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005242564,0.9927419,0.001717911,0.0005297635,0.0002132349,0.00004881669,0.00007356521,0.00004117844,0.004109461],"genre_scores_gemma":[0.004480733,0.9908511,0.002717475,0.0005544598,0.0001462186,0.00009686107,0.0001703295,0.00002219481,0.0009606331],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006013718,"threshold_uncertainty_score":0.02011788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04424788468769342,"score_gpt":0.2671449785972542,"score_spread":0.2228970939095608,"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."}}