{"id":"W4220692292","doi":"10.18280/ria.360103","title":"A Novel Edge Detection Algorithm Based on Outer Totalistic Cellular Automata","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sobel operator; Enhanced Data Rates for GSM Evolution; Cellular automaton; Edge detection; Computer science; Canny edge detector; Image (mathematics); Algorithm; Image gradient; Detector; Key (lock); Image quality; Artificial intelligence; Image processing; Pattern recognition (psychology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003727828,0.0006392959,0.001047344,0.001261057,0.0006118457,0.001206396,0.001572983,0.001055904,0.001765415],"category_scores_gemma":[0.001654516,0.0003770535,0.0009779996,0.000863807,0.0005292665,0.0008989846,0.0009009882,0.0007356114,0.0005520426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007668005,"about_ca_system_score_gemma":0.001037214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008056944,"about_ca_topic_score_gemma":0.006676213,"domain_scores_codex":[0.9996589,0.00003235851,0.00002919829,0.0001015127,0.0001344613,0.00004351155],"domain_scores_gemma":[0.9993145,0.0002211511,0.00007282032,0.00008184138,0.0002678926,0.0000417161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001833326,0.00009161023,0.003200869,0.0001767154,0.0001312317,0.000273843,0.0001921389,0.4420685,0.04265532,0.017636,0.003844352,0.489546],"study_design_scores_gemma":[0.000007924749,0.00002597994,0.0002127394,0.000006796041,0.00001326108,0.00007155731,0.00001072554,0.9917068,0.003703305,0.002678209,0.001551224,0.00001156744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01857392,0.000224676,0.9777651,0.00008698495,0.00007174202,0.00005395037,0.00006247558,0.001208444,0.001952733],"genre_scores_gemma":[0.3395676,0.000268777,0.654696,0.0001855202,0.0000355671,0.0001887475,0.0002391709,0.0002023664,0.004616234],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008056944,"threshold_uncertainty_score":0.01602006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973550098387782,"score_gpt":0.2484590009846891,"score_spread":0.2187235000008113,"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."}}