{"id":"W4232757299","doi":"10.1145/2010324.1964928","title":"Exploration of continuous variability in collections of 3D shapes","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Division of Information and Intelligent Systems; Division of Computing and Communication Foundations; National Institutes of Health; National Science Foundation","keywords":"Computer science; Invariant (physics); Set (abstract data type); Point (geometry); Artificial intelligence; Shape analysis (program analysis); Range (aeronautics); Geometric shape; Selection (genetic 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":[0.002038314,0.0008704869,0.001511834,0.004002367,0.001131166,0.002216292,0.001557626,0.001212065,0.001355509],"category_scores_gemma":[0.009540749,0.000904442,0.001858067,0.004721369,0.001384948,0.003449722,0.005260852,0.001169547,0.0005106326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006548077,"about_ca_system_score_gemma":0.0007922922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002024241,"about_ca_topic_score_gemma":0.005063194,"domain_scores_codex":[0.9978296,0.0005303666,0.0001255025,0.0004630206,0.0009227226,0.0001287936],"domain_scores_gemma":[0.9904344,0.005630707,0.0007594788,0.002291899,0.0005777821,0.0003055679],"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":[0.001346992,0.0008153279,0.05499692,0.00138075,0.0007693334,0.002755676,0.011001,0.2423397,0.09113199,0.01179251,0.009834702,0.5718352],"study_design_scores_gemma":[0.00009717655,0.000509312,0.03746773,0.0001112534,0.0001578865,0.003100934,0.004268262,0.8639585,0.04460368,0.03029766,0.01515916,0.0002684254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5496062,0.0006450157,0.4395458,0.0002900833,0.0000272967,0.0002128219,0.001368157,0.005097856,0.00320674],"genre_scores_gemma":[0.7390729,0.0004405526,0.2545953,0.00008032051,0.00003006784,0.0002460268,0.003499182,0.0007092226,0.001326371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004002367,"threshold_uncertainty_score":0.0107798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916235859007659,"score_gpt":0.2280513556935124,"score_spread":0.1888889971034358,"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."}}