{"id":"W2557828239","doi":"10.1145/2992138.2992139","title":"ISSv3","year":2016,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Augmented reality; Computer science; Immersion (mathematics); Virtual reality; Multimedia; Android (operating system); Computer-mediated reality; Human–computer interaction; Virtual world; Focus (optics); Mixed reality; Metaverse; Mobile apps; Computer graphics (images); World Wide Web","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":[0.0007634215,0.000661115,0.0004727834,0.001043938,0.001148907,0.002312914,0.001157019,0.001049616,0.2607991],"category_scores_gemma":[0.00123673,0.0003005149,0.0004911377,0.0009789696,0.0003155554,0.001256948,0.001980706,0.0008217244,0.1624872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007007516,"about_ca_system_score_gemma":0.001191805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005004986,"about_ca_topic_score_gemma":0.006148209,"domain_scores_codex":[0.9993253,0.0000690633,0.00002981805,0.00009432545,0.0004046163,0.00007700726],"domain_scores_gemma":[0.9993464,0.00005616205,0.00001744172,0.0001639823,0.0003154619,0.0001005164],"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":[0.0003770324,0.0001345117,0.001802332,0.0004762955,0.00003273748,0.0002191083,0.0003490769,0.001638497,0.018331,0.02121793,0.5770962,0.3783253],"study_design_scores_gemma":[0.00002351417,0.00005998476,0.0006094185,0.00002673895,0.000006615957,0.00007837333,0.00005169595,0.001199516,0.003146315,0.001453729,0.9933327,0.00001136376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01061185,0.001144297,0.0522053,0.000926353,0.00153812,0.0005396663,0.01578452,0.04379196,0.873458],"genre_scores_gemma":[0.08907117,0.001060002,0.03129198,0.001234954,0.0004040311,0.0004887723,0.07803012,0.009088495,0.7893305],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2607991,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00650786606105047,"score_gpt":0.1949516749718733,"score_spread":0.1884438089108228,"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."}}