{"id":"W2953011543","doi":"10.1145/3322276.3323701","title":"The Tilting Bowl: Electronic Design for a Research Product","year":2019,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Simon Fraser University","keywords":"Electronics; Product (mathematics); Task (project management); Perspective (graphical); Product design; Computer science; Tilt (camera); Task management; Key (lock); Engineering; Systems engineering; Human–computer interaction; Electrical engineering; Computer security; Mechanical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00213329,0.0008110706,0.000270498,0.0007274498,0.0006773808,0.003609281,0.001131698,0.001629445,0.01618957],"category_scores_gemma":[0.002737291,0.0004779119,0.0004495555,0.000508552,0.001618966,0.00432673,0.001278804,0.0009617937,0.006188839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004420627,"about_ca_system_score_gemma":0.00059775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002188061,"about_ca_topic_score_gemma":0.0002963371,"domain_scores_codex":[0.9990795,0.0002752229,0.0000696326,0.000139121,0.0003676671,0.00006882469],"domain_scores_gemma":[0.9990379,0.0002923454,0.00008372514,0.0001929416,0.0002962671,0.00009686062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004239988,0.0001413225,0.001434764,0.002040305,0.00003740034,0.001758248,0.003310141,0.002281243,0.1232364,0.427426,0.03565419,0.402256],"study_design_scores_gemma":[0.00006878622,0.001066553,0.001703108,0.0005862968,0.0001054021,0.003478234,0.001331366,0.005672527,0.03952086,0.04031247,0.9060253,0.0001290809],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02193202,0.004699552,0.8170436,0.00545226,0.002219436,0.0006171978,0.0001941386,0.002309462,0.1455324],"genre_scores_gemma":[0.1755909,0.004719663,0.7284985,0.002462934,0.0005356818,0.0006477326,0.0001568539,0.0006196938,0.08676809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01618957,"threshold_uncertainty_score":0.05415952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167771409617502,"score_gpt":0.3999232889297469,"score_spread":0.2831461479679966,"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."}}