{"id":"W4252268092","doi":"10.32920/14636655.v1","title":"Comprehensive Analysis of Edge Detection in Color Image Processing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer vision; Artificial intelligence; Edge detection; Image processing; Computer science; Image gradient; Enhanced Data Rates for GSM Evolution; Color image; 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":[0.001299061,0.0009534591,0.001249302,0.003746139,0.0004390755,0.001480421,0.0010874,0.0007852067,0.001423775],"category_scores_gemma":[0.003230456,0.0005341957,0.001247218,0.002772856,0.0005501476,0.00195223,0.0009086304,0.0009894704,0.0004446278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005656632,"about_ca_system_score_gemma":0.0007740271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001459014,"about_ca_topic_score_gemma":0.001681478,"domain_scores_codex":[0.9985483,0.0001659067,0.00007180785,0.0001836702,0.0009388551,0.00009148759],"domain_scores_gemma":[0.9977214,0.0006751319,0.0001833593,0.0003093136,0.001038908,0.00007183493],"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":[0.0002090128,0.0002173801,0.003911882,0.001105366,0.000412859,0.0002736227,0.0001438317,0.1197834,0.1304277,0.08130752,0.004433405,0.657774],"study_design_scores_gemma":[0.000007509548,0.0001079206,0.007597771,0.00008290126,0.0002111083,0.000365187,0.00003911226,0.8585819,0.05956174,0.06666923,0.006716209,0.00005941643],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01568194,0.003096965,0.9791596,0.00009392035,0.00002329712,0.00003094578,0.0001047095,0.0003107592,0.001497922],"genre_scores_gemma":[0.4072254,0.0112549,0.5713418,0.0002253079,0.0002776705,0.0001246652,0.0009534346,0.0003769906,0.008219912],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003746139,"threshold_uncertainty_score":0.006870151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04004141438078715,"score_gpt":0.3132743014543525,"score_spread":0.2732328870735654,"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."}}