{"id":"W2977742373","doi":"10.1145/3338286.3340121","title":"Help!","year":2019,"lang":"en","type":"article","venue":"","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Affordance; Usability; Computer science; Human–computer interaction; Mobile device; Mental model; User interface; Interface (matter); Multimedia; Psychology; World Wide Web; Cognitive 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":[0.0006889685,0.0006901103,0.0004443215,0.001194956,0.001638851,0.003251735,0.0009938896,0.001920216,0.688625],"category_scores_gemma":[0.004740905,0.0003420098,0.0005501843,0.0006679224,0.0003351609,0.003233178,0.004004418,0.001101427,0.5744689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003778533,"about_ca_system_score_gemma":0.0007350333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001747145,"about_ca_topic_score_gemma":0.00427696,"domain_scores_codex":[0.9995084,0.0001140144,0.00003221822,0.00007808848,0.0001771443,0.00009017695],"domain_scores_gemma":[0.9980666,0.0003083016,0.0001028906,0.0002498079,0.0005686446,0.0007038255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008006341,0.00004480113,0.0005667679,0.0001939491,0.000004650987,0.00009200173,0.0003770548,0.00001342616,0.0002309676,0.00140956,0.8879539,0.1090329],"study_design_scores_gemma":[0.00001434477,0.0000276377,0.0007974984,0.00006859368,0.00000330972,0.0001447509,0.000209374,0.00002936454,0.0001100931,0.00053036,0.9980561,0.000008561606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005896224,0.002429812,0.005261325,0.01091123,0.003848077,0.0005643538,0.01302826,0.02540431,0.9326563],"genre_scores_gemma":[0.01885689,0.00152907,0.005588844,0.006007508,0.0007212971,0.0003096657,0.00825872,0.002540037,0.9561879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.688625,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174884339141809,"score_gpt":0.2790434638793393,"score_spread":0.2672946204879212,"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."}}