{"id":"W2166982189","doi":"10.1109/pacrim.1999.799486","title":"Image expansion using segmentation-based method","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Distortion (music); Interpolation (computer graphics); Pixel; Image segmentation; Spline (mechanical); Segmentation; Image processing; Image (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":[0.0002869976,0.00009203484,0.00008055615,0.00008359799,0.0001069392,0.000127335,0.0002847218,0.00002542988,0.00003325547],"category_scores_gemma":[0.00008843063,0.00008299333,0.00002730076,0.0003263398,0.00002141103,0.0008719775,0.00004320644,0.0000579263,0.000009912224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004560757,"about_ca_system_score_gemma":0.0001028829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007825228,"about_ca_topic_score_gemma":2.929239e-7,"domain_scores_codex":[0.9991882,0.00009110026,0.0001330815,0.0002681614,0.0001591321,0.0001603536],"domain_scores_gemma":[0.9993868,0.00007518371,0.00006084535,0.0003369106,0.00009757342,0.0000426943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001054371,0.00003693169,0.0000451891,0.0000130825,0.000001890462,0.000006958032,0.00008333079,0.0001585655,0.951039,0.01004664,0.0001646139,0.03840275],"study_design_scores_gemma":[0.00009015569,0.00001067493,0.000003502896,0.000007936917,0.000001437072,0.000006340016,0.00001001822,0.4390977,0.5466498,0.0138474,0.0001875152,0.000087466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001286941,0.00004148971,0.995948,0.0001150845,0.00005486716,0.0000898946,1.689485e-7,0.0005935549,0.003028304],"genre_scores_gemma":[0.005947852,0.00000105726,0.993305,0.0006484792,0.000005330677,0.000008437894,4.609458e-7,0.000008767321,0.00007463226],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4389392,"threshold_uncertainty_score":0.338437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909603523003405,"score_gpt":0.3600503755926469,"score_spread":0.3309543403626128,"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."}}