{"id":"W2384078850","doi":"","title":"The Research on Image Edge Extraction Based on Improved and Colony Algorithm","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ant colony optimization algorithms; Computer science; Enhanced Data Rates for GSM Evolution; Edge detection; Image (mathematics); Artificial intelligence; Image edge; Image gradient; Algorithm; Pattern recognition (psychology); Computer vision; Image processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004944825,0.00009099689,0.00005950692,0.00009527614,0.000440263,0.00009210908,0.0001187568,0.00006243851,0.000006672601],"category_scores_gemma":[0.0000029686,0.00007471486,0.00002440362,0.0002093049,0.00007027041,0.00005003013,0.00001647877,0.0005174383,0.0000498357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003663599,"about_ca_system_score_gemma":0.00001120591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000216717,"about_ca_topic_score_gemma":0.000008543972,"domain_scores_codex":[0.9993595,0.00003682576,0.0001136739,0.0001881747,0.0001168824,0.0001849215],"domain_scores_gemma":[0.9992021,0.0003563809,0.00001717062,0.0002699439,0.00009557539,0.00005888344],"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":[0.000005188914,0.00002576717,0.000001511048,0.000004758746,0.000003134055,1.098422e-7,0.000009968683,0.0002062128,0.4212391,0.0001799313,0.0009922948,0.577332],"study_design_scores_gemma":[0.0002504712,0.00005711118,0.0004130113,0.000004131985,0.000003141123,0.000002595767,0.00001093977,0.1486779,0.1106607,0.0006522263,0.7391682,0.00009957629],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002060711,0.00003144223,0.994648,0.0002080974,0.0001052447,0.0005875544,0.000005112171,0.0001880233,0.002165814],"genre_scores_gemma":[0.03288405,0.00003689502,0.9648964,0.0001121326,0.0005857109,0.001132607,0.000008955629,0.0000422818,0.0003009273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7381759,"threshold_uncertainty_score":0.3386192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885820058439264,"score_gpt":0.3497084799165202,"score_spread":0.3208502793321276,"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."}}