{"id":"W2786114040","doi":"10.1109/globalsip.2017.8308628","title":"3D shape asymmetry analysis using correspondence between partial geodesic curves","year":2017,"lang":"en","type":"article","venue":"","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Geodesic; Computer science; Asymmetry; Computer vision; Point (geometry); Artificial intelligence; Symmetry (geometry); Trunk; Set (abstract data type); Mathematics; Geometry; Physics","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":[0.001002379,0.0009397066,0.0008227987,0.006528868,0.0004757747,0.001675914,0.001006953,0.0008951762,0.001983035],"category_scores_gemma":[0.00440401,0.0006136283,0.001355942,0.002886441,0.0007402223,0.001521081,0.001644268,0.0007904442,0.0008656206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005533749,"about_ca_system_score_gemma":0.0008117263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001413942,"about_ca_topic_score_gemma":0.0009678723,"domain_scores_codex":[0.9987735,0.0002186579,0.00006330005,0.0002538472,0.0005923444,0.00009830206],"domain_scores_gemma":[0.9982511,0.000492309,0.0003392343,0.0003988846,0.0004105044,0.0001077781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006304682,0.0001672504,0.01215782,0.0002784742,0.0002174648,0.0007875658,0.0007637281,0.1407436,0.1214504,0.02007011,0.002051368,0.7006817],"study_design_scores_gemma":[0.00002149746,0.0001233985,0.006853217,0.00002331725,0.00004035589,0.0008453486,0.0001465753,0.9532652,0.02280019,0.01267623,0.003145676,0.00005898884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09382074,0.0001383325,0.9023833,0.00006730975,0.00001874313,0.0001534465,0.000196651,0.001474089,0.0017474],"genre_scores_gemma":[0.6656529,0.0002594486,0.3316246,0.00003088731,0.00003314879,0.0001391215,0.0005736196,0.0005564738,0.001129744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006528868,"threshold_uncertainty_score":0.006633937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04782145046500674,"score_gpt":0.2967057582344732,"score_spread":0.2488843077694665,"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."}}