{"id":"W2139689981","doi":"10.1109/icsmc.1989.71428","title":"On the informativeness of edges","year":2003,"lang":"en","type":"article","venue":"","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coding (social sciences); Filter (signal processing); Computer science; Enhanced Data Rates for GSM Evolution; Artificial intelligence; Contrast (vision); Segmentation; Image segmentation; Computer vision; Image (mathematics); Mathematics; Statistics","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":[0.002512576,0.0008638663,0.0008229076,0.00377704,0.0007079071,0.002208067,0.0009356925,0.001759521,0.003040284],"category_scores_gemma":[0.015149,0.000630735,0.0007003863,0.001977236,0.002985932,0.004543683,0.001451341,0.001813167,0.0008692436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006802009,"about_ca_system_score_gemma":0.0003246447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006409452,"about_ca_topic_score_gemma":0.0004536685,"domain_scores_codex":[0.9983422,0.0003287528,0.0001051152,0.0004340723,0.0006448728,0.0001449413],"domain_scores_gemma":[0.9897996,0.007201806,0.0008033992,0.0007048811,0.001221161,0.0002691442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00106729,0.0001330753,0.003190872,0.0009690002,0.0001596859,0.001163219,0.0008725844,0.0668682,0.1216498,0.4331462,0.006542998,0.364237],"study_design_scores_gemma":[0.000112615,0.0007180034,0.0099564,0.000494284,0.0002824947,0.003124463,0.0003055971,0.3292808,0.09724873,0.5210686,0.03717297,0.0002351748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05149661,0.005261109,0.9247865,0.0006869228,0.0002363032,0.00007673229,0.0002248649,0.0004740832,0.01675686],"genre_scores_gemma":[0.7139341,0.009833722,0.2621544,0.001015238,0.001638722,0.0001817817,0.0006294917,0.000416754,0.01019582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00377704,"threshold_uncertainty_score":0.0132879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674902616502599,"score_gpt":0.2401524292213135,"score_spread":0.2234034030562875,"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."}}