{"id":"W2130038307","doi":"10.1145/2207676.2208392","title":"See me, see you","year":2012,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Exploit; Human–computer interaction; Simple (philosophy); Orientation (vector space); Artificial intelligence; Space (punctuation); Machine learning; Computer security","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":[0.00009357933,0.00006722957,0.00005988578,0.00003746452,0.0000524865,0.00003979442,0.0003443974,0.00002297195,0.0006827363],"category_scores_gemma":[0.00001448818,0.00005265677,0.00004661817,0.0001069722,0.00001118246,0.001061018,0.0001394365,0.00006175385,0.00497793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001842142,"about_ca_system_score_gemma":0.00001110498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002183984,"about_ca_topic_score_gemma":0.000001394954,"domain_scores_codex":[0.9994223,0.00002020587,0.0000702018,0.0001221079,0.0001063644,0.000258868],"domain_scores_gemma":[0.9995723,0.00002968012,0.00002254574,0.000247423,0.00005257249,0.00007544662],"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":[0.000007943184,0.0002202601,0.0176074,0.000007267574,0.00005432062,0.000005821929,0.00273931,0.000002758454,0.09466674,0.6784455,0.201643,0.004599742],"study_design_scores_gemma":[0.0005143866,0.0001407953,0.157227,0.00001496773,0.00001404042,0.00004441059,0.0008383038,0.004821154,0.5041313,0.001419816,0.3302162,0.000617654],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02572894,0.00008152382,0.5076683,0.0007009164,0.001085693,0.00006036911,9.214431e-7,0.00003646864,0.4646369],"genre_scores_gemma":[0.9811835,0.000002254476,0.004227294,0.001766896,0.0001184383,0.00000325736,0.000001107186,0.000003543938,0.01269376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9554545,"threshold_uncertainty_score":0.9957968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01709527340453901,"score_gpt":0.2658872980353793,"score_spread":0.2487920246308403,"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."}}