{"id":"W4236119629","doi":"10.1111/j.1467-8659.2008.01157.x","title":"Viewfinder Alignment","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nokia (Canada)","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Panorama; Computer graphics (images); Frame (networking); Point (geometry); Similarity (geometry); Image (mathematics); Mathematics","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":[0.0001019898,0.0001635021,0.0001611373,0.0001660283,0.000320779,0.00006497295,0.0008451984,0.0000412507,0.000008134283],"category_scores_gemma":[0.000004107599,0.0001483128,0.0001208591,0.0004641345,0.00008610874,0.0005322193,0.00054307,0.0001557393,0.00009481826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001929562,"about_ca_system_score_gemma":0.0000321896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002871745,"about_ca_topic_score_gemma":7.906449e-7,"domain_scores_codex":[0.998606,0.00003297294,0.0002201575,0.0004137014,0.0003155976,0.0004115564],"domain_scores_gemma":[0.9990157,0.00004100184,0.00006629474,0.0006652288,0.00006811249,0.000143662],"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":[0.000003176496,0.0001685168,0.007385309,0.0000116135,0.00003343069,0.0001627277,0.0006201795,0.0001173239,0.000101632,0.7484426,0.06326912,0.1796844],"study_design_scores_gemma":[0.0006978245,0.0001436301,0.008837264,0.00003972345,0.000003137042,0.0003407464,0.00001012396,0.6481985,0.0007892976,0.03764412,0.3027885,0.0005071235],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001236215,0.0002959851,0.9941361,0.002149918,0.0008670034,0.0001030373,5.823908e-7,0.0002829618,0.000928218],"genre_scores_gemma":[0.5017781,0.0003943775,0.4783554,0.01894709,0.0001818035,0.00001582895,0.000004268378,0.00002673654,0.0002964054],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7107985,"threshold_uncertainty_score":0.6048019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254480104889995,"score_gpt":0.2530835375820687,"score_spread":0.2305387365331688,"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."}}