{"id":"W2136968685","doi":"10.1109/tvcg.2006.97","title":"Image-Based Stained Glass","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Image warping; Computer science; Artificial intelligence; Computer vision; Rendering (computer graphics); Stained glass; Image segmentation; Image texture; Computer graphics (images); Visualization; Segmentation; Texture synthesis; Image processing; Image (mathematics); Pattern recognition (psychology)","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":[0.0001105154,0.000182057,0.0001430688,0.0003644742,0.0003324844,0.000273835,0.0002308274,0.00005816349,0.00001061951],"category_scores_gemma":[0.000001111784,0.0001799188,0.00007837461,0.0007669096,0.00007926162,0.0005075863,0.0000035295,0.0001306974,0.00001068304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002098689,"about_ca_system_score_gemma":0.00003707789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001629094,"about_ca_topic_score_gemma":0.000009006737,"domain_scores_codex":[0.9987988,0.0000767899,0.0002534205,0.0003911397,0.0002632853,0.0002165568],"domain_scores_gemma":[0.9993089,0.00007591068,0.00007309973,0.0003031306,0.0001511707,0.00008774504],"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":[0.00002615059,0.0005888796,0.00008500204,0.0000467287,0.00002058507,0.00001491002,0.0001872804,0.004232117,0.0003501934,0.9374379,0.001011191,0.05599904],"study_design_scores_gemma":[0.0006955757,0.0001134124,0.0002937489,0.00002524935,0.000006581527,0.000006540984,0.000006621073,0.9907991,0.00325406,0.002102206,0.00248331,0.0002135373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009268383,0.00002243988,0.9977313,0.0002035086,0.0004292188,0.0001360634,0.000004101591,0.0004264146,0.0001201591],"genre_scores_gemma":[0.9181013,0.00004210087,0.07836009,0.003249315,0.00007554031,0.00001918332,0.00000986391,0.00002711935,0.0001154923],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.986567,"threshold_uncertainty_score":0.7336877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043603365140919,"score_gpt":0.2691995527183321,"score_spread":0.2587635190669229,"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."}}