{"id":"W4401042627","doi":"10.18653/v1/2024.naacl-demo.1","title":"TOPICAL: TOPIC Pages AutomagicaLly","year":2024,"lang":"en","type":"article","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada","keywords":"Computer science; Information retrieval; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285044,0.002165977,0.001288892,0.006456499,0.002130728,0.005975329,0.001532297,0.001598966,0.1464307],"category_scores_gemma":[0.005110821,0.001633077,0.002200864,0.004706637,0.0005472004,0.01006175,0.006006445,0.001915574,0.1865218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008791257,"about_ca_system_score_gemma":0.00181316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003904773,"about_ca_topic_score_gemma":0.009864134,"domain_scores_codex":[0.9988066,0.000196063,0.000105435,0.0003129289,0.0004361721,0.0001427661],"domain_scores_gemma":[0.9976337,0.000443001,0.0001130663,0.0009702284,0.0006659065,0.0001741188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000138234,0.00005468615,0.0005885335,0.0004409538,0.0000615043,0.00006708728,0.0002224654,0.0001955214,0.003508397,0.007716056,0.8661149,0.1208916],"study_design_scores_gemma":[0.00004197103,0.00002368931,0.0005436666,0.000115428,0.00004815707,0.0001522559,0.0001806301,0.002854698,0.007786328,0.01218551,0.9760262,0.00004143472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.006522943,0.004463985,0.2650988,0.004043079,0.005764388,0.001086848,0.1290881,0.4268034,0.1571284],"genre_scores_gemma":[0.06113232,0.004259213,0.3034694,0.00230372,0.002342845,0.001186486,0.2603229,0.105224,0.2597591],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1464307,"threshold_uncertainty_score":0.4898596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282916156351805,"score_gpt":0.2814461780181651,"score_spread":0.2686170164546471,"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."}}