{"id":"W4400876131","doi":"10.3390/s24144707","title":"Deformation Estimation of Textureless Objects from a Single Image","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Mitacs","keywords":"Polygon mesh; Artificial intelligence; Computer science; Vertex (graph theory); Computer vision; Deformation (meteorology); Graph; Image (mathematics); RGB color model; Chamfer (geometry); Pattern recognition (psychology); Mathematics; Geometry; Computer graphics (images); Theoretical computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00003619951,0.00005855576,0.00008238803,0.00008267226,0.00001220292,0.00003063906,0.00002877176,0.00003615383,0.00002290929],"category_scores_gemma":[0.000012505,0.00005355887,0.00004757304,0.0001441801,0.000007806078,0.00008742946,0.000004063704,0.00005534713,0.00007845544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002499904,"about_ca_system_score_gemma":0.000004012416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004278075,"about_ca_topic_score_gemma":0.0000114519,"domain_scores_codex":[0.9996561,0.000006919362,0.0001247233,0.00006356453,0.00008102791,0.00006769542],"domain_scores_gemma":[0.9998521,0.00002628048,0.00001003094,0.000078771,0.00001574231,0.00001709748],"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":[7.792079e-7,0.000004344029,0.000003141183,0.00007830611,0.0000348205,0.00000243257,0.001296455,0.9565014,0.02142177,0.00001688081,0.0001089455,0.02053073],"study_design_scores_gemma":[0.00002926303,0.000004167643,0.00002544271,0.00007524688,0.0000307069,8.229793e-7,0.0001103452,0.9639211,0.03521207,0.0005148816,0.00001956924,0.00005640578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9185118,0.0003257304,0.0789635,0.00001877365,0.000109578,0.00002268316,0.00001637716,0.0002616856,0.001769869],"genre_scores_gemma":[0.9962494,0.00001317521,0.003595747,0.00000333306,0.00003736676,0.000001065504,0.00004196929,0.00001351455,0.00004443769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07773758,"threshold_uncertainty_score":0.2184067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006796845941283476,"score_gpt":0.2052139534764109,"score_spread":0.1984171075351275,"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."}}