{"id":"W2082812585","doi":"10.1145/1377980.1377995","title":"Non-linear perspective widgets for creating multiple-view images","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Computer science; Perspective (graphical); Variety (cybernetics); Set (abstract data type); Projection (relational algebra); Object (grammar); Human–computer interaction; Range (aeronautics); Visualization; Computer graphics (images); Theoretical computer science; Artificial intelligence; Algorithm; Programming language","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":[0.00009109457,0.0001124614,0.0001434564,0.00005394022,0.0003129367,0.00003400004,0.0003465964,0.00001861717,0.00001295658],"category_scores_gemma":[0.0002273266,0.0000918994,0.0000765661,0.0001618767,0.00004862936,0.0006255643,0.0001434743,0.00007149957,0.0000492582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003876551,"about_ca_system_score_gemma":0.000037818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003549461,"about_ca_topic_score_gemma":0.000002020844,"domain_scores_codex":[0.9991295,0.00001061311,0.0001455789,0.0003483584,0.0001255462,0.0002404001],"domain_scores_gemma":[0.9991899,0.0001859792,0.00005056379,0.0002798678,0.0002199808,0.00007376994],"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":[0.0001076831,0.001003393,0.01482823,0.0002022698,0.0001661045,0.0003082326,0.03009868,0.00245675,0.04129678,0.150753,0.04194126,0.7168376],"study_design_scores_gemma":[0.000941308,0.00009433828,0.002551006,0.00003959443,0.00000292563,0.00005387459,0.0005416542,0.9682989,0.01824585,0.001740486,0.007210157,0.000279957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006988546,0.0002089786,0.9826646,0.0008719064,0.0001219356,0.0002187849,0.000001313891,0.0001848651,0.01502877],"genre_scores_gemma":[0.247794,0.00005543236,0.7491818,0.0007416405,0.0000763721,0.00001864146,7.405336e-7,0.000009327735,0.002122049],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9658421,"threshold_uncertainty_score":0.3747549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038667094428494,"score_gpt":0.3268495860452002,"score_spread":0.2964629151009153,"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."}}