{"id":"W2080501520","doi":"10.1504/ijica.2012.046779","title":"Knowledge-based image segmentation using swarm intelligence techniques","year":2012,"lang":"en","type":"article","venue":"International Journal of Innovative Computing and Applications","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Swarm behaviour; Artificial intelligence; Image segmentation; Swarm intelligence; Segmentation; Segmentation-based object categorization; Image (mathematics); Computer vision; Cellular automaton; Scale-space segmentation; Pixel; Pattern recognition (psychology); Machine learning; Particle swarm optimization","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":[0.0004299474,0.0005245551,0.0009096317,0.001162952,0.0005279522,0.00141366,0.0007662256,0.000836773,0.001180851],"category_scores_gemma":[0.001128886,0.0004042452,0.0008964139,0.0007378574,0.0007914927,0.001439704,0.0009825334,0.0005948418,0.0003875942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007398902,"about_ca_system_score_gemma":0.0006531772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003330668,"about_ca_topic_score_gemma":0.0024969,"domain_scores_codex":[0.9997211,0.00004913302,0.00002544808,0.00007050753,0.0001070431,0.00002665336],"domain_scores_gemma":[0.9996359,0.0001622454,0.00005003146,0.00006482039,0.00006806504,0.00001888541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009894293,0.0000910789,0.0008521694,0.000197972,0.0001375988,0.0002543507,0.0004138892,0.5983866,0.05356887,0.04365114,0.002019022,0.3003284],"study_design_scores_gemma":[0.00000870547,0.00002332459,0.0001904133,0.00001226851,0.00001883961,0.00005024111,0.00003314037,0.9758406,0.006572105,0.01478128,0.002456683,0.00001224503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006200042,0.0001661248,0.9910149,0.00008871554,0.0000160709,0.00003040954,0.00001201064,0.0003829634,0.002088715],"genre_scores_gemma":[0.3357778,0.0005334553,0.660086,0.00009551716,0.00004183494,0.0001316848,0.0001202842,0.0001139541,0.003099402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003330668,"threshold_uncertainty_score":0.006622553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440100883696548,"score_gpt":0.3687368195775669,"score_spread":0.3343358107406014,"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."}}