{"id":"W2146700972","doi":"10.1111/j.1467-8659.2009.01633.x","title":"Consensus Skeleton for Non‐rigid Space‐time Registration","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Skeleton (computer programming); Rigid transformation; Mirroring; Point cloud; Point (geometry); Frame (networking); Feature (linguistics); Pattern recognition (psychology); Algorithm; Geometry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00197014,0.0007211909,0.001066751,0.001885983,0.0006980145,0.001298648,0.001397234,0.001574393,0.004505188],"category_scores_gemma":[0.007191534,0.0005667541,0.001117037,0.001572041,0.002036049,0.002075627,0.002968727,0.001432989,0.001990731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009163434,"about_ca_system_score_gemma":0.001179301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0020785,"about_ca_topic_score_gemma":0.001415168,"domain_scores_codex":[0.9975373,0.0005161489,0.0001467565,0.0006109177,0.001059774,0.000129145],"domain_scores_gemma":[0.997203,0.0006007482,0.0004167705,0.0009601221,0.0006604987,0.0001589321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000313861,0.00009800022,0.001178955,0.0001510756,0.0000866886,0.0002702072,0.0003084066,0.4977425,0.03893064,0.1617669,0.005434887,0.2937179],"study_design_scores_gemma":[0.00001697295,0.00006394598,0.0004516385,0.00001102081,0.000009299538,0.0001109879,0.00003268827,0.9509261,0.00943506,0.03449269,0.004422704,0.0000268912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004239846,0.00003795318,0.9943417,0.00004075449,0.00002195782,0.00002308744,0.00002739375,0.0004765858,0.0007907222],"genre_scores_gemma":[0.3279129,0.0002203313,0.6642719,0.0001025596,0.00007359539,0.0002648925,0.0005644422,0.0006159634,0.005973366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004505188,"threshold_uncertainty_score":0.01507133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006950933097610634,"score_gpt":0.2083983909983724,"score_spread":0.2014474579007618,"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."}}