{"id":"W1553839376","doi":"10.1017/cbo9780511635465","title":"Object Categorization","year":2009,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Categorization; Multidisciplinary approach; Context (archaeology); Perspective (graphical); Object (grammar); Computer science; Discipline; Data science; Cognitive science; Human–computer interaction; Artificial intelligence; Psychology; Sociology; Geography; Social science","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":[0.000473136,0.001221043,0.0010241,0.003557349,0.0008238559,0.00369751,0.001863028,0.0008915127,0.04485159],"category_scores_gemma":[0.001687608,0.0004106667,0.0009745511,0.003698747,0.0007622354,0.002653441,0.0011346,0.001256218,0.03845376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027146,"about_ca_system_score_gemma":0.0007782621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001310559,"about_ca_topic_score_gemma":0.002284562,"domain_scores_codex":[0.9993725,0.00005762764,0.00003644794,0.000169845,0.0003301644,0.00003337596],"domain_scores_gemma":[0.9994805,0.0001226055,0.00001915062,0.0001248314,0.0002114367,0.00004140224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002131406,0.00002200894,0.000151693,0.0004245132,0.00003186233,0.00005020054,0.0001092549,0.0009932605,0.002160965,0.02365921,0.4099128,0.562463],"study_design_scores_gemma":[0.000003386845,0.00001486089,0.0005104697,0.0001110638,0.0000117443,0.0003570363,0.0000780889,0.002180873,0.001104912,0.0238352,0.9717785,0.00001392945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.004783609,0.08368438,0.4139876,0.004503404,0.02450767,0.0004480291,0.007414311,0.009019102,0.4516519],"genre_scores_gemma":[0.03468756,0.03482253,0.2635007,0.002605896,0.00435468,0.0003703139,0.02460949,0.002565964,0.632483],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04485159,"threshold_uncertainty_score":0.1500435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201187883634327,"score_gpt":0.199785116667801,"score_spread":0.1796663283043683,"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."}}