{"id":"W2553910175","doi":"10.1145/2992154.2996881","title":"Tunnel Divisions","year":2016,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003095734,0.00003632998,0.00003264336,0.00002753129,0.00003891863,0.00002001103,0.0003096971,0.00001032474,0.0003157314],"category_scores_gemma":[0.00002521433,0.00001822781,0.00003156536,0.00005799171,0.00001112321,0.000442676,0.0001206842,0.00001582063,0.001920248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009822729,"about_ca_system_score_gemma":0.000009093623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005569558,"about_ca_topic_score_gemma":0.000001345314,"domain_scores_codex":[0.9996528,0.000009960005,0.00004493806,0.0001217299,0.00006253477,0.0001080575],"domain_scores_gemma":[0.999639,0.0000689633,0.00001129896,0.0002038309,0.00004248362,0.00003437991],"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":[0.00000129357,0.00002709424,0.0006263879,3.729917e-7,0.000007120861,0.000004518101,0.0001006312,8.731744e-8,0.307924,0.6382779,0.03435729,0.01867321],"study_design_scores_gemma":[0.0009661206,0.000246739,0.2577478,0.00006549801,0.000004763858,0.00002868686,0.0001074217,0.00108544,0.5514252,0.03030791,0.1574852,0.0005291663],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005479706,0.000004189008,0.8978658,0.003658962,0.0002123258,0.00001996816,6.770208e-7,0.00001808215,0.09274024],"genre_scores_gemma":[0.9881689,0.000002890648,0.002056008,0.0009427148,0.00001828139,0.000001948421,9.299907e-8,0.00000152836,0.008807665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9826891,"threshold_uncertainty_score":0.9988568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009855706068193349,"score_gpt":0.2328766355380978,"score_spread":0.2230209294699044,"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."}}