{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008562037,0.0008461596,0.0005674568,0.001237057,0.0004235418,0.001742192,0.0006195036,0.0008502974,0.00428967],"category_scores_gemma":[0.002187073,0.0004214767,0.0008784131,0.001468653,0.0008293288,0.001179711,0.000827898,0.0009221797,0.001481892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346705,"about_ca_system_score_gemma":0.0009051994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01210775,"about_ca_topic_score_gemma":0.007863427,"domain_scores_codex":[0.9993954,0.00007451009,0.00002448768,0.0001708475,0.0002347626,0.00009985673],"domain_scores_gemma":[0.9990957,0.0003110513,0.00008584451,0.0001165611,0.0003422233,0.00004866909],"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":[0.0008282098,0.0001271288,0.00918519,0.0004105826,0.0001701883,0.0004094872,0.0009666105,0.1409192,0.230637,0.01600346,0.00457004,0.5957729],"study_design_scores_gemma":[0.00003121006,0.0002937372,0.02581111,0.0001150295,0.0001612825,0.00059763,0.0006153255,0.8300498,0.1035629,0.01476071,0.02387765,0.0001237567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1344806,0.001005372,0.8546704,0.0005965701,0.0001103737,0.0000824321,0.0003991727,0.002572355,0.006082665],"genre_scores_gemma":[0.6928326,0.001646016,0.2883233,0.000375894,0.00009141692,0.0001165225,0.0007597135,0.0005692081,0.01528526],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01210775,"threshold_uncertainty_score":0.02407455,"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."}}