{"id":"W2611065581","doi":"10.1145/3025453.3025568","title":"Cito","year":2017,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Human–computer interaction; Fidelity; Smartwatch; Face (sociological concept); Translation (biology); Rotation (mathematics); Multimedia; Artificial intelligence; Wearable computer; Embedded system; Telecommunications","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":[0.0007663597,0.0007703148,0.0004478268,0.00104366,0.001154445,0.003469582,0.002390835,0.002027737,0.133753],"category_scores_gemma":[0.002106756,0.0004208547,0.0005157851,0.0009210926,0.0005791246,0.003070263,0.003270495,0.001550853,0.05293313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006982257,"about_ca_system_score_gemma":0.001284793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001510855,"about_ca_topic_score_gemma":0.002549827,"domain_scores_codex":[0.9990546,0.00007899464,0.0000363988,0.0001984115,0.0004582673,0.0001733055],"domain_scores_gemma":[0.9986504,0.0001589274,0.00006004431,0.0003892625,0.000486304,0.0002551451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000729298,0.0002592768,0.002404251,0.001446441,0.00004960617,0.001202601,0.0007950859,0.001650888,0.06567159,0.09226064,0.4285955,0.4049348],"study_design_scores_gemma":[0.00004703493,0.0001321977,0.000850933,0.0001346759,0.00002134982,0.0006877233,0.0001406577,0.003318476,0.007607958,0.003638363,0.9833794,0.00004121899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01583465,0.002895063,0.1906681,0.004674305,0.005231644,0.001541041,0.005156468,0.01892554,0.7550731],"genre_scores_gemma":[0.1817337,0.00435787,0.1683431,0.006153746,0.001850396,0.002188498,0.01863627,0.006502733,0.6102336],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.133753,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912873565354425,"score_gpt":0.294666839775598,"score_spread":0.2755381041220538,"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."}}