{"id":"W983086246","doi":"","title":"SEGMENTACIÓN DE IMÁGENES DE COLOR EMPLEANDO EL ESPACIO DE ESCALA GAUSSIANO","year":2006,"lang":"es","type":"article","venue":"Universidad Industrial de Santander","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Humanities; Art; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001063513,0.000617458,0.0006895902,0.0005331674,0.0005159857,0.0004040497,0.0003467825,0.001857853,0.0007085259],"category_scores_gemma":[0.0001314187,0.0006832231,0.0003994246,0.0007807431,0.0001190631,0.0003584444,0.0001011847,0.001135381,0.0001178596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003630404,"about_ca_system_score_gemma":0.0009627328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004829306,"about_ca_topic_score_gemma":0.0001063253,"domain_scores_codex":[0.9963125,0.0005337393,0.0006687468,0.0005458469,0.0004525802,0.001486597],"domain_scores_gemma":[0.9984664,0.0002854836,0.0002511273,0.0004216318,0.00009745602,0.0004778445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005265135,0.0007475863,0.2970091,0.0003898714,0.001776455,0.002286474,0.00273923,0.0899349,0.28857,0.02093749,0.272018,0.01832568],"study_design_scores_gemma":[0.03932089,0.001780056,0.03875389,0.001977663,0.001890912,0.001523574,0.009150999,0.02749128,0.3083996,0.001093404,0.5644708,0.004146912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590372,0.0003833714,0.01114712,0.0002644345,0.001758557,0.0007911939,0.0001871647,0.0003979353,0.026033],"genre_scores_gemma":[0.9923773,0.0001466178,0.0003014028,0.00008613677,0.00435117,0.00001390148,0.0000381151,0.0001216454,0.002563669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2924528,"threshold_uncertainty_score":0.9995619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01324477801906535,"score_gpt":0.2405665219274259,"score_spread":0.2273217439083605,"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."}}