{"id":"W3040829389","doi":"10.1007/978-3-030-50341-3_11","title":"Insights from the Apple Human Interface Guidelines on Intuitive Interaction","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Interface (matter); Context (archaeology); Process (computing); Key (lock); Human–computer interaction; Data science; Academic community; World Wide Web; Programming language; Library 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":[0.001323448,0.000541123,0.0003054147,0.0007849426,0.0007911831,0.005006147,0.001028077,0.002214696,0.01771595],"category_scores_gemma":[0.006459513,0.0004479367,0.0002104393,0.0008402718,0.004173852,0.006414701,0.00175125,0.003085427,0.002362843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008295,"about_ca_system_score_gemma":0.001068917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003628492,"about_ca_topic_score_gemma":0.00617918,"domain_scores_codex":[0.9990909,0.000325061,0.00004802984,0.0001032618,0.0003498996,0.00008284775],"domain_scores_gemma":[0.9964899,0.002591283,0.00008636459,0.0001992363,0.0005374294,0.0000957973],"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":[0.0000629097,0.00005046613,0.0004305761,0.0002441329,0.00000493624,0.0002987607,0.0086507,0.00111195,0.002917115,0.833164,0.02135457,0.13171],"study_design_scores_gemma":[0.00003601441,0.0001408179,0.004315378,0.0007840075,0.00002076553,0.001030285,0.00570866,0.008167155,0.003370708,0.6223219,0.354052,0.00005233477],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04846039,0.01727607,0.1878243,0.02271098,0.0007617947,0.00009773036,0.0002169776,0.000635927,0.7220158],"genre_scores_gemma":[0.7504586,0.01376482,0.07816438,0.003613829,0.0005179166,0.0002311189,0.0002746783,0.001011682,0.151963],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01771595,"threshold_uncertainty_score":0.05926579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04907129884556444,"score_gpt":0.3422140648479066,"score_spread":0.2931427660023421,"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."}}