{"id":"W2165944636","doi":"10.1109/icsmc.2007.4413785","title":"Image segmentation using joint clustering analysis of attribute data and relationship data","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cluster analysis; Segmentation-based object categorization; Computer science; Image segmentation; Segmentation; Artificial intelligence; Pattern recognition (psychology); Scale-space segmentation; Data mining; Market segmentation","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":[],"consensus_categories":[],"category_scores_codex":[0.001890069,0.00008410829,0.0001769402,0.0004366942,0.0001144861,0.00011409,0.001327976,0.00003200456,0.00000869227],"category_scores_gemma":[0.0002940948,0.00008225543,0.00001713416,0.001454084,0.0000589006,0.002006126,0.004865358,0.0001038917,0.000001855237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005575802,"about_ca_system_score_gemma":0.00003264956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000155302,"about_ca_topic_score_gemma":0.0001764851,"domain_scores_codex":[0.9984695,0.00005294466,0.0003489452,0.000539835,0.0003564478,0.0002322922],"domain_scores_gemma":[0.9971685,0.0003077657,0.0001222375,0.002225858,0.00009460765,0.00008104833],"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":[0.00008669381,0.0003696059,0.2072082,0.0005273051,0.002604726,0.0002046907,0.004014771,0.08303583,0.2642749,0.002147131,0.0004596343,0.4350665],"study_design_scores_gemma":[0.000139125,0.00001029502,0.04177951,0.000008973095,0.00006482545,0.000007877813,0.0001149588,0.9568937,0.0008197809,0.00006224761,0.0000151383,0.00008358348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03995894,0.00004124423,0.9595518,0.0001036174,0.00004060333,0.00009964043,0.00007182843,0.00004697691,0.00008535059],"genre_scores_gemma":[0.2690413,0.000007660666,0.730737,0.00001463633,0.00001410225,3.445504e-7,0.0001452588,0.000004824178,0.00003483779],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8738579,"threshold_uncertainty_score":0.606432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2598599314233456,"score_gpt":0.4275597758651129,"score_spread":0.1676998444417673,"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."}}