{"id":"W2006326991","doi":"10.1007/s007780100059","title":"Efficient retrieval of similar shapes","year":2002,"lang":"en","type":"article","venue":"The VLDB Journal","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Search engine indexing; Normalization (sociology); Computer science; Pattern recognition (psychology); Artificial intelligence; Similarity (geometry); Invariant (physics); Image retrieval; Computer vision; Mathematics; Algorithm; Image (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":[0.0003674314,0.001256687,0.002790239,0.004004979,0.00110848,0.002422679,0.002372127,0.001905432,0.01066349],"category_scores_gemma":[0.002547072,0.0008038718,0.001689322,0.005826809,0.0007705652,0.002571541,0.002794491,0.001011029,0.008870185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008087635,"about_ca_system_score_gemma":0.0009247455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002580852,"about_ca_topic_score_gemma":0.004292394,"domain_scores_codex":[0.9989386,0.00009294043,0.00006111713,0.0002325813,0.0005396694,0.0001350417],"domain_scores_gemma":[0.9990628,0.0001469593,0.00007211367,0.0004446522,0.0002088249,0.0000646551],"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":[0.001030773,0.000230463,0.0009857308,0.0004205427,0.0001505059,0.0005899456,0.0001807525,0.01319908,0.2124356,0.009003935,0.01983851,0.7419342],"study_design_scores_gemma":[0.0003574578,0.0008037992,0.004907127,0.0001009581,0.0004285359,0.006689903,0.0007477771,0.6472642,0.2549767,0.03861485,0.04495137,0.0001573967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1339589,0.0040721,0.831974,0.0005223525,0.0004382265,0.000553487,0.002083649,0.009410014,0.01698718],"genre_scores_gemma":[0.3267634,0.002777432,0.6334838,0.000504346,0.000359562,0.0002710017,0.008938349,0.001577201,0.02532496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01066349,"threshold_uncertainty_score":0.0356729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979951787720897,"score_gpt":0.2431261256838491,"score_spread":0.2133266078066401,"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."}}