{"id":"W2187273170","doi":"10.21553/rev-jec.49","title":"A Comparative Survey on 3D Models Retrieval Methods","year":2013,"lang":"en","type":"article","venue":"REV Journal on Electronics and Communications","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Object (grammar); Similarity (geometry); Matching (statistics); Variation (astronomy); Artificial intelligence; Computer vision; Pattern recognition (psychology); Shape analysis (program analysis); Image (mathematics); Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003045263,0.001775051,0.002726626,0.01317638,0.0008305138,0.003702323,0.003162285,0.003006079,0.006335679],"category_scores_gemma":[0.007539484,0.0009926178,0.002566047,0.01729999,0.0008956997,0.005130915,0.001434183,0.001057742,0.005166777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092596,"about_ca_system_score_gemma":0.001325109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004249045,"about_ca_topic_score_gemma":0.002363313,"domain_scores_codex":[0.9953981,0.0006234042,0.0005772732,0.0009077171,0.002303877,0.0001895874],"domain_scores_gemma":[0.9956857,0.002031509,0.000228372,0.0005327445,0.001435918,0.00008578419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001142187,0.00007674692,0.0006500485,0.002847069,0.000126136,0.00006621047,0.0001143382,0.002478032,0.002796037,0.003826911,0.008147143,0.9787572],"study_design_scores_gemma":[0.0001148366,0.001338779,0.01631109,0.004380955,0.0009806382,0.006942892,0.001678925,0.1478776,0.03266373,0.02870601,0.7583364,0.0006681481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00972941,0.5600652,0.4119727,0.0009431497,0.001101923,0.0002366132,0.0007390839,0.001792108,0.01341998],"genre_scores_gemma":[0.08284844,0.5659538,0.329888,0.001186486,0.002149597,0.000373793,0.004424601,0.000793175,0.01238208],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01317638,"threshold_uncertainty_score":0.02119493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08432365226250382,"score_gpt":0.3699536284982047,"score_spread":0.2856299762357009,"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."}}