{"id":"W2044663431","doi":"10.1109/ismar-amh.2009.5336728","title":"Augmented Reality (AR) joiners, a novel expanded cinematic form","year":2009,"lang":"en","type":"article","venue":"","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Augmented reality; Computer science; Movie theater; Focus (optics); Computer graphics (images); Multimedia; Mixed reality; Virtual reality; Photography; Space (punctuation); Digital media; Media arts; Human–computer interaction; Field (mathematics); Visual arts; Art; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164722,0.0001604743,0.0001978545,0.00009613842,0.0001486292,0.0001096703,0.0008409366,0.00006281525,0.00005136423],"category_scores_gemma":[0.00003873495,0.0001332682,0.00008070517,0.0006139475,0.00003210658,0.0004223205,0.0001336922,0.0001154887,0.00009272459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009104906,"about_ca_system_score_gemma":0.00006182361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009657498,"about_ca_topic_score_gemma":0.00004021609,"domain_scores_codex":[0.9985205,0.00002339879,0.0003860918,0.0004055967,0.0003404291,0.0003240103],"domain_scores_gemma":[0.9984596,0.00005398815,0.0001261415,0.001120793,0.00008498213,0.0001545114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000691587,0.0008039814,0.00003003688,0.00002454133,0.00003833319,0.000003299186,0.0006512923,0.00009953726,0.01510428,0.9051241,0.0295968,0.04851689],"study_design_scores_gemma":[0.004442803,0.0004874776,0.02959847,0.0001244335,0.00006686129,0.0001691028,0.0003444694,0.7471187,0.01978528,0.1690056,0.02753967,0.001317082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001448267,0.00001387717,0.941669,0.01933834,0.00004850533,0.0004139259,0.000004242617,0.0005460536,0.03651782],"genre_scores_gemma":[0.8743175,0.00001591848,0.11825,0.004220494,0.00006296582,0.00007690958,0.00003204595,0.000009964999,0.003014182],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8728693,"threshold_uncertainty_score":0.5434519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354848996291492,"score_gpt":0.2903347212139191,"score_spread":0.2567862312510041,"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."}}