{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005649065,0.000805697,0.0005946216,0.0004209775,0.0005537057,0.001701652,0.000577227,0.0009185362,0.02455635],"category_scores_gemma":[0.004561623,0.000359939,0.0002823198,0.0002446036,0.0003489033,0.002227305,0.001839776,0.0006775467,0.01116979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001391369,"about_ca_system_score_gemma":0.0001937064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006115862,"about_ca_topic_score_gemma":0.00109434,"domain_scores_codex":[0.9993518,0.0001023412,0.00002832085,0.0001803507,0.000267696,0.00006944278],"domain_scores_gemma":[0.9977427,0.0005248778,0.0002703179,0.0007317801,0.0004285865,0.0003018297],"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":[0.001487272,0.00009453416,0.0114534,0.0003594011,0.00008256661,0.0004531693,0.001126264,0.0007282226,0.1099112,0.004183382,0.05087966,0.8192409],"study_design_scores_gemma":[0.0001848086,0.002350667,0.1173249,0.0004525194,0.0002176548,0.006196038,0.002754882,0.05714509,0.2039838,0.01329148,0.5955564,0.0005417441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.296255,0.002850218,0.528625,0.002723781,0.001074716,0.0006657258,0.003837385,0.04430556,0.1196627],"genre_scores_gemma":[0.7527423,0.0008476902,0.1474443,0.001544245,0.0002012655,0.0002582122,0.002012418,0.001448899,0.0935007],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02455635,"threshold_uncertainty_score":0.08214915,"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."}}