{"id":"W2166694136","doi":"10.1145/1979742.1979719","title":"SnowGlobe","year":2011,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer graphics (images); Computer science; Computer vision; Object (grammar); Artificial intelligence; Parallax; Stereo display; Position (finance)","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":[0.0002956675,0.0005571831,0.0003242092,0.0004211146,0.0003847752,0.0009066651,0.001099234,0.0005293304,0.04484686],"category_scores_gemma":[0.0007531026,0.0003086263,0.0005292438,0.0003163009,0.0002149468,0.001298803,0.002400562,0.0005242227,0.01047173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002166742,"about_ca_system_score_gemma":0.0003968293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003776491,"about_ca_topic_score_gemma":0.006021537,"domain_scores_codex":[0.9997852,0.00003228424,0.000008674225,0.00003992458,0.00009361162,0.00004033134],"domain_scores_gemma":[0.9997389,0.0000510903,0.00000933967,0.00007552371,0.00005663098,0.00006864115],"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":[0.001402713,0.0003075001,0.00448041,0.001000599,0.0001561212,0.00108165,0.002211988,0.006552111,0.0746406,0.02822825,0.3712654,0.5086727],"study_design_scores_gemma":[0.0001236761,0.0002668949,0.004337691,0.00009081552,0.00005701526,0.0006378388,0.00024929,0.0269769,0.01384227,0.004609533,0.948721,0.00008714806],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.07740456,0.001665017,0.5243436,0.001252246,0.0008691956,0.0008783715,0.009898454,0.1622341,0.2214545],"genre_scores_gemma":[0.4129994,0.001512228,0.322385,0.001311481,0.0002256128,0.0006365604,0.03088525,0.01994198,0.2101025],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04484686,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03822978417330999,"score_gpt":0.2224622803412243,"score_spread":0.1842324961679143,"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."}}