{"id":"W7135968009","doi":"","title":"University of Amsterdam at the CLEF 2023 SimpleText Track","year":2023,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Information Retrieval and Search Behavior","field":"Computer Science","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; Relevance (law); Context (archaeology); Relation (database); Focus (optics); Track (disk drive); Information access; Public access","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":[0.007030062,0.0006304988,0.001131114,0.001619477,0.002112846,0.007128745,0.001295278,0.002692712,0.2155705],"category_scores_gemma":[0.01520024,0.0003596319,0.0005282631,0.002043501,0.0006933338,0.002506094,0.001947769,0.001539722,0.07659265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003308051,"about_ca_system_score_gemma":0.004424293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775807,"about_ca_topic_score_gemma":0.01556208,"domain_scores_codex":[0.9942269,0.001724147,0.0002195586,0.0009769517,0.002258798,0.0005936106],"domain_scores_gemma":[0.9900988,0.003012333,0.000435904,0.0009534498,0.002623415,0.002876075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008288655,0.0002770013,0.002037296,0.0004753066,0.00004728351,0.0004526223,0.0003814891,0.001134314,0.004111722,0.008783777,0.8942509,0.08721946],"study_design_scores_gemma":[0.0002746539,0.0001385231,0.003630523,0.00007407615,0.000009709952,0.0001485015,0.0001870772,0.002001834,0.001952487,0.001335224,0.9902075,0.00003987497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09728024,0.01711608,0.01564043,0.04514566,0.0112299,0.001917348,0.1425937,0.01081714,0.6582595],"genre_scores_gemma":[0.2389687,0.002663826,0.02860171,0.002551296,0.001702516,0.001145524,0.1193599,0.003671424,0.6013351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2155705,"threshold_uncertainty_score":0.7211553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446621754042886,"score_gpt":0.2211373845278174,"score_spread":0.1966711669873886,"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."}}