{"id":"W2062190392","doi":"10.1080/2151237x.2005.10129205","title":"Implementing the IBar Camera Widget","year":2005,"lang":"en","type":"article","venue":"Journal of Graphics Tools","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Athabasca University","keywords":"Perspective (graphical); Distortion (music); Computer science; Projection (relational algebra); Lens (geology); Computer vision; Computer graphics (images); Object (grammar); Camera lens; Artificial intelligence; Optics; Physics; Telecommunications; Algorithm","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":[0.001243779,0.001321923,0.0009594914,0.000821618,0.0005805987,0.003421623,0.00296068,0.001209066,0.01595361],"category_scores_gemma":[0.004523081,0.001037608,0.0008505515,0.0003908473,0.0004966427,0.002789175,0.003323908,0.002051356,0.006760501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003821314,"about_ca_system_score_gemma":0.0006048022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001500961,"about_ca_topic_score_gemma":0.001346824,"domain_scores_codex":[0.9986241,0.0001170004,0.00009028184,0.000230579,0.0006793615,0.0002587767],"domain_scores_gemma":[0.9987135,0.0002702233,0.00007967989,0.0003344532,0.0004341143,0.0001680898],"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":[0.002595337,0.0008569316,0.006699726,0.001049748,0.0002301812,0.001220392,0.002233621,0.00811861,0.1356477,0.04318236,0.06344143,0.734724],"study_design_scores_gemma":[0.0004721622,0.0007362613,0.003285758,0.0004096758,0.0002908732,0.002030788,0.0005080059,0.1296728,0.3153055,0.01122524,0.535605,0.0004579972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01825682,0.0006801005,0.9106817,0.0002026667,0.0004927321,0.0002892153,0.0003464565,0.05475584,0.01429446],"genre_scores_gemma":[0.1893281,0.0008246756,0.7700702,0.0008973043,0.0001489505,0.0005464607,0.001553601,0.008200582,0.0284301],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01595361,"threshold_uncertainty_score":0.05337012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482750791552202,"score_gpt":0.3058796857265445,"score_spread":0.2810521778110225,"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."}}