{"id":"W4401863228","doi":"10.1145/3637528.3671793","title":"<scp>Binder:</scp> Hierarchical Concept Representation through Order Embedding of Binary Vectors","year":2024,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Embedding; Representation (politics); Theoretical computer science; Computer science; Simple (philosophy); Mathematics; Algorithm; Artificial intelligence","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":[0.001678839,0.002542447,0.001230681,0.003155398,0.001062522,0.004104486,0.004758349,0.002264263,0.1103189],"category_scores_gemma":[0.0104796,0.0009400438,0.001584513,0.005213397,0.001575205,0.009553378,0.005445607,0.003803001,0.06149546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642813,"about_ca_system_score_gemma":0.002072237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01256798,"about_ca_topic_score_gemma":0.01675355,"domain_scores_codex":[0.9979246,0.0003324642,0.0001269058,0.0004146787,0.001074196,0.0001271316],"domain_scores_gemma":[0.9960442,0.0009041402,0.0002047319,0.001618903,0.001009769,0.0002184169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001474933,0.00009351634,0.0002506255,0.0004765271,0.0000594141,0.000232036,0.0001882961,0.006259257,0.006478772,0.05309526,0.6137277,0.3189911],"study_design_scores_gemma":[0.000107466,0.0001001377,0.0007261282,0.0001823881,0.0000428484,0.000594036,0.0001216266,0.3231525,0.0252507,0.1771195,0.4724531,0.0001494205],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002778711,0.001100557,0.8791311,0.003276393,0.001271108,0.0004259336,0.01573768,0.06615048,0.03012808],"genre_scores_gemma":[0.0781977,0.00245238,0.7533273,0.002750687,0.0009185337,0.001445432,0.07686068,0.01679734,0.06724996],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1103189,"threshold_uncertainty_score":0.3690535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03332678432754565,"score_gpt":0.3208398496670251,"score_spread":0.2875130653394795,"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."}}