{"id":"W2113156330","doi":"10.1109/ism.2009.124","title":"Vision System Development through Separation of Management and Processing","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Abstraction; Scope (computer science); Reusability; Task (project management); Machine vision; Management system; Artificial intelligence; Abstraction layer; Data management; Software engineering; Human–computer interaction; Risk analysis (engineering); Data science; Systems engineering; Database; Engineering; Software; Operations management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002038015,0.00004664681,0.00006503133,0.00001312488,0.00004276924,0.0000116815,0.00002704827,0.00001166109,0.000002205445],"category_scores_gemma":[4.136144e-7,0.0000362662,0.000006610899,0.00005337075,0.00001586665,0.0000891443,0.00002323839,0.00002058513,0.00000210612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001147242,"about_ca_system_score_gemma":0.000003087926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001159412,"about_ca_topic_score_gemma":8.830781e-8,"domain_scores_codex":[0.9996855,0.000002361359,0.0001034255,0.00008803588,0.00005566528,0.00006499104],"domain_scores_gemma":[0.999878,0.00000376651,0.0000360959,0.00005768018,0.00001708441,0.00000740803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000004525723,0.00003239127,0.0004213411,0.00002898796,0.000007239287,3.864692e-7,0.0001194984,0.00007149819,0.0006073926,0.3141997,0.00003182114,0.6844752],"study_design_scores_gemma":[0.002274889,0.0005238531,0.06612692,0.001628611,0.00009987591,0.000004541319,0.01430887,0.02343635,0.6520508,0.2224432,0.01593684,0.001165236],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.244122,0.00003576656,0.700377,0.00008997232,0.000009917397,0.0001221242,1.589322e-7,0.0001134013,0.05512971],"genre_scores_gemma":[0.7541167,4.02253e-7,0.2457545,0.000005413012,0.00000409623,9.4589e-7,0.000001126589,0.000001394952,0.000115468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.68331,"threshold_uncertainty_score":0.1478892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009628883067314346,"score_gpt":0.2870251257927625,"score_spread":0.2773962427254481,"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."}}