{"id":"W1532452946","doi":"10.1007/978-3-540-87536-9_10","title":"A New Type of ART2 Architecture and Application to Color Image Segmentation","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence; Color space; Pattern recognition (psychology); Segmentation; Cluster analysis; Image segmentation; Feature (linguistics); Adaptive resonance theory; Similarity (geometry); Artificial neural network; Architecture; Feature vector; Computer vision; Color image; Image (mathematics); Image processing","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":[0.0003352293,0.0007834858,0.0005862002,0.0008030721,0.0005950261,0.001637131,0.002568536,0.001419207,0.01606447],"category_scores_gemma":[0.00073216,0.0005402376,0.0008707059,0.001160953,0.0005127731,0.00138129,0.001052678,0.000996367,0.003619919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005580279,"about_ca_system_score_gemma":0.0004968906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003333948,"about_ca_topic_score_gemma":0.006817381,"domain_scores_codex":[0.9997633,0.00002383262,0.0000108482,0.00008354098,0.00008658535,0.00003185737],"domain_scores_gemma":[0.9997558,0.00004474332,0.000009499421,0.00007063266,0.00009703779,0.00002232663],"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":[0.0003888038,0.0001091544,0.0006623376,0.0003169696,0.0001417911,0.000245044,0.0001292544,0.05640068,0.1114159,0.03610453,0.01731806,0.7767676],"study_design_scores_gemma":[0.00003247151,0.0001514774,0.0007055093,0.00003426922,0.0000846379,0.000534513,0.00002806222,0.8729948,0.06856968,0.02106817,0.03575482,0.00004163956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01159359,0.0006296468,0.9666508,0.0001528853,0.000235217,0.00005228413,0.0001686993,0.00598086,0.01453598],"genre_scores_gemma":[0.1675631,0.0006020321,0.797435,0.0003774713,0.0001867447,0.0001024991,0.0005179635,0.0008817704,0.03233339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01606447,"threshold_uncertainty_score":0.05374098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013044934826912,"score_gpt":0.259088205145484,"score_spread":0.246043270318572,"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."}}