{"id":"W4402527095","doi":"10.1007/978-3-031-71736-9_3","title":"Knowledge Acquisition Passage Retrieval: Corpus, Ranking Models, and Evaluation Resources","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam; Canadian Institute of Steel Construction","keywords":"Computer science; Ranking (information retrieval); Information retrieval; Knowledge acquisition; Artificial intelligence; Natural language processing","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":[0.006787215,0.0009630036,0.001477993,0.005107646,0.000800447,0.004647562,0.002014695,0.001281752,0.01146104],"category_scores_gemma":[0.02155258,0.000626716,0.0007943882,0.007191401,0.000731349,0.005910929,0.001167664,0.001408163,0.009548597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664337,"about_ca_system_score_gemma":0.002283712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008024684,"about_ca_topic_score_gemma":0.00944288,"domain_scores_codex":[0.9959246,0.002764557,0.0002066942,0.0003176184,0.0006891967,0.00009738991],"domain_scores_gemma":[0.9907643,0.006298845,0.0002386331,0.00102482,0.001460413,0.0002130081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007373217,0.0005472432,0.002745532,0.00134566,0.0002331311,0.0001391467,0.000309537,0.0173808,0.006675923,0.01991055,0.1425156,0.8074595],"study_design_scores_gemma":[0.0003166699,0.001138114,0.01494078,0.001114911,0.0009245985,0.0009800681,0.0005803603,0.7038818,0.02891527,0.07025792,0.1766045,0.0003450554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06992168,0.04152049,0.7881582,0.004974718,0.001037243,0.001018262,0.01302757,0.01466987,0.06567193],"genre_scores_gemma":[0.3478471,0.0143875,0.5452461,0.001095944,0.001917355,0.00186288,0.04258071,0.002831175,0.04223115],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01146104,"threshold_uncertainty_score":0.03834105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04013300437566199,"score_gpt":0.2820423754897383,"score_spread":0.2419093711140763,"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."}}