{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001603225,0.0001891829,0.0002269194,0.0002279762,0.0004816638,0.00008449922,0.003521859,0.0000557255,0.00002303796],"category_scores_gemma":[0.0006328013,0.0001343498,0.0001097832,0.0004896898,0.0001788727,0.0005061192,0.006188489,0.0006514072,0.000004347017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009994523,"about_ca_system_score_gemma":0.00002343141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002417059,"about_ca_topic_score_gemma":5.572223e-7,"domain_scores_codex":[0.9987329,0.000016711,0.0002022016,0.0004413251,0.0003223456,0.0002845119],"domain_scores_gemma":[0.9986746,0.0001748165,0.000286908,0.0006366686,0.0002073106,0.00001965577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003268367,0.000294009,0.001967368,0.00006040193,0.000157326,0.000006674726,0.002665421,0.0000891315,0.8862194,0.06825468,0.01638883,0.02356997],"study_design_scores_gemma":[0.0002292428,0.001057702,0.001640446,0.00006166858,0.00001162446,0.00009031843,0.01309414,0.0002383497,0.9259546,0.05117952,0.006241664,0.0002006622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99075,0.0003051428,0.00003935481,0.002702866,0.0004522941,0.0004357523,0.00001371371,0.0001518005,0.005149058],"genre_scores_gemma":[0.9985284,0.00006087625,0.0005402713,0.0002379113,0.00001369709,0.0002479444,2.701103e-7,0.00001149262,0.0003591324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0397353,"threshold_uncertainty_score":0.7713508,"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."}}