{"id":"W1678372281","doi":"10.1109/icsmc.1998.727563","title":"Visual knowledge representation based on perceptual organization","year":2002,"lang":"en","type":"article","venue":"","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Perception; Coding (social sciences); Artificial intelligence; Representation (politics); Set (abstract data type); Cognitive neuroscience of visual object recognition; Consistency (knowledge bases); Object (grammar); Computer vision; Pattern recognition (psychology); Mathematics","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":[0.0006300104,0.0003553712,0.000385194,0.001473347,0.0004844195,0.002513476,0.001252369,0.0005904709,0.002074902],"category_scores_gemma":[0.002516639,0.0002420805,0.0008741287,0.001119381,0.002179878,0.005271758,0.001572301,0.0008200391,0.0004334974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009734162,"about_ca_system_score_gemma":0.0006008544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002502137,"about_ca_topic_score_gemma":0.001609743,"domain_scores_codex":[0.9994587,0.0001179,0.00004085825,0.0001827887,0.0001443082,0.00005545165],"domain_scores_gemma":[0.9993268,0.0001512868,0.00008711769,0.0002430902,0.0001285314,0.00006321733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007490595,0.00003701856,0.0009070033,0.0002988217,0.00007229567,0.0001758804,0.001220543,0.01970988,0.01014632,0.7317635,0.003589528,0.2320043],"study_design_scores_gemma":[0.00001670901,0.00006801059,0.001414061,0.0001055149,0.00007933498,0.0002203869,0.0003445847,0.1208174,0.003925833,0.85214,0.02082277,0.00004526756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01514123,0.0006582181,0.9740976,0.0004856352,0.00004225195,0.00006723859,0.0002651004,0.0004647952,0.00877798],"genre_scores_gemma":[0.4980927,0.001350437,0.4957553,0.0002431902,0.00008726837,0.0001947665,0.0009899979,0.0001114293,0.00317483],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002513476,"threshold_uncertainty_score":0.007062674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446805801492853,"score_gpt":0.2892178945034947,"score_spread":0.2547498364885662,"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."}}