{"id":"W7135654852","doi":"","title":"University of Amsterdam at the CLEF 2024 Joker Track","year":2024,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Humor Studies and Applications","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam; Canadian Institute of Steel Construction","keywords":"Clef; Classifier (UML); Machine translation; Filter (signal processing); Ranking (information retrieval); Alphabet; Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001909728,0.0001621325,0.000281114,0.0001123265,0.0005011498,0.00001368991,0.0005483573,0.0001175596,0.01190286],"category_scores_gemma":[0.000004267256,0.000162462,0.0002776453,0.0004351463,0.0005566318,0.0000854173,0.000425656,0.0002681345,0.00139884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009666113,"about_ca_system_score_gemma":0.00004041633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215269,"about_ca_topic_score_gemma":0.00181802,"domain_scores_codex":[0.9988604,0.0001100211,0.000137312,0.0004157007,0.0002039588,0.0002726735],"domain_scores_gemma":[0.9989424,0.0001830258,0.0001129103,0.0006009654,0.00007614803,0.00008455448],"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":[0.0004000432,0.000414684,0.003987205,0.0003294839,0.001289276,0.0003129983,0.09675272,0.00003157119,0.001423943,0.03360083,0.8142464,0.04721081],"study_design_scores_gemma":[0.0006573041,0.0001330182,0.03724251,0.00008674017,0.0002525777,0.00001880219,0.08515919,0.0001035815,0.00003847033,0.0002057759,0.875879,0.0002229606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.754889,0.001160913,0.0009221467,0.006943189,0.0007689678,0.0004378885,0.0005075739,0.0001276836,0.2342426],"genre_scores_gemma":[0.8690735,0.0001232531,0.0001328896,0.00006737605,0.00005561656,2.623526e-7,0.0000218431,0.00001575689,0.1305095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1141845,"threshold_uncertainty_score":0.9993787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918868724704769,"score_gpt":0.255404590269653,"score_spread":0.2362159030226053,"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."}}