{"id":"W2091897342","doi":"10.1145/1029949.1029956","title":"Visualizing 3D scenes using non-linear projections and data mining of previous camera movements","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Perspective (graphical); Generality; Computer vision; Projection (relational algebra); Artificial intelligence; Visualization; Flexibility (engineering); Computer graphics (images); Subdivision; Linear model; Algorithm; Mathematics; Machine learning; Geography","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":[0.0007437482,0.001011953,0.0008686482,0.002216513,0.0006073592,0.002449169,0.001468931,0.0005999074,0.002314251],"category_scores_gemma":[0.002687432,0.000853292,0.001153892,0.0022969,0.001020563,0.002422353,0.002385353,0.00147029,0.0008492874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003667205,"about_ca_system_score_gemma":0.0007030362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001592278,"about_ca_topic_score_gemma":0.003451835,"domain_scores_codex":[0.999135,0.0001589562,0.00005142094,0.0002369631,0.0003516612,0.00006597645],"domain_scores_gemma":[0.9982768,0.0006028994,0.000220881,0.0005259277,0.0002612066,0.0001122082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002745099,0.0001749253,0.006100125,0.0005949182,0.0001715963,0.0004033149,0.001998273,0.05395373,0.08097688,0.01653696,0.003806527,0.8350081],"study_design_scores_gemma":[0.00004777173,0.000291012,0.007873478,0.0001420946,0.0001098595,0.001884436,0.001143989,0.7811365,0.1371607,0.04200905,0.0280007,0.0002004587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006821681,0.0001140682,0.9910942,0.00007371952,0.000007118904,0.00003625667,0.00009665974,0.001251206,0.0005052685],"genre_scores_gemma":[0.06611509,0.0003450606,0.9325131,0.00002635499,0.00001450659,0.00006922654,0.0003183153,0.0001709094,0.0004275699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002449169,"threshold_uncertainty_score":0.007741928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08597904122702214,"score_gpt":0.3991086913325115,"score_spread":0.3131296501054893,"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."}}