{"id":"W1586125175","doi":"10.1007/978-3-540-30125-7_50","title":"Contour Description Through Set Operations on Dynamic Reference Shapes","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Feature (linguistics); Set (abstract data type); Pattern recognition (psychology); Artificial intelligence; Simple (philosophy); Simplicity; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025791,0.0003469366,0.0003311907,0.0003347667,0.0002003516,0.0002871855,0.0003632132,0.0004357345,0.0000654501],"category_scores_gemma":[0.00003443053,0.0003118436,0.00006938283,0.0002288105,0.0001302747,0.0003232506,0.0000635283,0.0007601153,0.0001116064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006940583,"about_ca_system_score_gemma":0.0001440208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009818087,"about_ca_topic_score_gemma":0.0003477097,"domain_scores_codex":[0.9982956,0.00001584955,0.0003750607,0.0005534632,0.0004534642,0.0003065328],"domain_scores_gemma":[0.9993417,0.00007943501,0.00005459255,0.0003517847,0.000111649,0.00006082901],"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":[0.000005848872,0.000005076963,0.000001191452,0.00002412098,0.000007614429,0.00001214788,0.0003270143,0.9313415,0.001207478,0.00342464,0.00001856172,0.06362478],"study_design_scores_gemma":[0.0007517644,0.0005030016,0.0001157102,0.001845895,0.00001981375,0.00007060704,0.000001683375,0.9418615,0.002840736,0.04646667,0.004404058,0.001118544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001913367,0.0001767589,0.9879903,0.00004844372,0.002343353,0.000402709,0.00002396254,0.0002532882,0.006847776],"genre_scores_gemma":[0.9916381,0.00004598403,0.007422601,0.0001940916,0.0003980357,0.00001174973,0.00001538003,0.00003903205,0.0002349884],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9897248,"threshold_uncertainty_score":0.9999334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04254482368783489,"score_gpt":0.2626204485023634,"score_spread":0.2200756248145285,"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."}}