{"id":"W2065885214","doi":"10.1006/gmod.2000.0537","title":"Layer-Based Morphing","year":2001,"lang":"en","type":"article","venue":"Graphical Models","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Morphing; Computer science; Computer graphics (images)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003583159,0.00091098,0.0007009114,0.001103108,0.0003896026,0.00132122,0.001389572,0.0009536312,0.01205906],"category_scores_gemma":[0.001374206,0.000801196,0.001329208,0.0009650013,0.0006657229,0.001773292,0.002073332,0.001538756,0.00296223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003969561,"about_ca_system_score_gemma":0.000500782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120005,"about_ca_topic_score_gemma":0.003687679,"domain_scores_codex":[0.99966,0.0000369627,0.00001972521,0.0001083023,0.0001319085,0.00004307848],"domain_scores_gemma":[0.9995198,0.00008801655,0.00002974824,0.0002707225,0.00006762249,0.00002395829],"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":[0.0001502157,0.00006202966,0.0007775645,0.0001623016,0.0001384211,0.0001125323,0.0001051147,0.2754178,0.05897303,0.05446505,0.008181082,0.6014548],"study_design_scores_gemma":[0.00001262114,0.0000262954,0.0003474814,0.00001724417,0.00004109954,0.0001621844,0.00002008594,0.932183,0.02718742,0.03041255,0.009562836,0.00002719708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006034013,0.00009034729,0.9860234,0.00006880795,0.00005520981,0.00002749764,0.0001749748,0.00402674,0.003499035],"genre_scores_gemma":[0.3312901,0.0004111531,0.6481827,0.0002030339,0.00003773485,0.00009532993,0.001187156,0.002999358,0.01559351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01205906,"threshold_uncertainty_score":0.04034156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640323916884054,"score_gpt":0.2845842437312439,"score_spread":0.2381810045624033,"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."}}