{"id":"W4315631033","doi":"10.1145/3570343","title":"StructureSense","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Constructive; Computer science; Focus (optics); Usability; Object (grammar); Process (computing); Track (disk drive); Human–computer interaction; Tracking (education); Artificial intelligence; Programming language","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":[0.000700075,0.001025486,0.0004548773,0.001237802,0.0007774593,0.002382432,0.001639324,0.001419019,0.07733954],"category_scores_gemma":[0.003412862,0.0007299585,0.0006611912,0.0007307623,0.0008586024,0.003871619,0.003250992,0.001479041,0.02684831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005506791,"about_ca_system_score_gemma":0.0008614291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009949409,"about_ca_topic_score_gemma":0.002316527,"domain_scores_codex":[0.998992,0.0001132833,0.00005597096,0.0001933726,0.0005746652,0.00007059298],"domain_scores_gemma":[0.9984599,0.0005819192,0.0000878658,0.0004055564,0.0003401525,0.00012462],"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":[0.0008435418,0.0001912871,0.001861041,0.001539372,0.00005558357,0.0008051803,0.002273383,0.0040253,0.07458923,0.07419623,0.1605211,0.6790987],"study_design_scores_gemma":[0.0000771311,0.0002905334,0.001438446,0.0001470848,0.00003316355,0.001077125,0.0002544883,0.01637211,0.0483874,0.01220723,0.9196255,0.0000897894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02838577,0.003236426,0.461339,0.001064338,0.000865461,0.0006135689,0.005969421,0.1989767,0.2995493],"genre_scores_gemma":[0.2295498,0.002757455,0.4302117,0.00147473,0.0003222382,0.001038981,0.02217874,0.02858908,0.2838773],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07733954,"threshold_uncertainty_score":0.2587265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008010353339419974,"score_gpt":0.2376171744015474,"score_spread":0.2296068210621274,"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."}}