{"id":"W4400203045","doi":"10.1080/01639374.2024.2369903","title":"Presenting Compounds to End Users in Search Results","year":2024,"lang":"en","type":"article","venue":"Cataloging & Classification Quarterly","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Computer science; Information retrieval; World Wide Web; Library science; Database","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":[0.002999512,0.001017828,0.001056964,0.0008157045,0.001032725,0.003374577,0.0007655724,0.002572467,0.01862127],"category_scores_gemma":[0.01937725,0.000281955,0.0005476677,0.0008878032,0.0008218208,0.005270813,0.001787648,0.000756798,0.005058313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004602563,"about_ca_system_score_gemma":0.0004334445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003658403,"about_ca_topic_score_gemma":0.0005363684,"domain_scores_codex":[0.9979819,0.001192681,0.0001426699,0.0001671255,0.0004061615,0.0001094908],"domain_scores_gemma":[0.9816281,0.01586637,0.0006314305,0.0008229815,0.0006860096,0.0003651807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01403566,0.002081877,0.02326741,0.00942318,0.0002394808,0.006957954,0.06557996,0.005339047,0.4346947,0.02986425,0.02448364,0.3840328],"study_design_scores_gemma":[0.004051954,0.03763412,0.05415586,0.002974437,0.00121424,0.01090155,0.05962116,0.04321164,0.35235,0.04118506,0.3914374,0.001262621],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698208,0.002618202,0.07482457,0.002617209,0.0001643147,0.001160068,0.001293456,0.005782001,0.04171929],"genre_scores_gemma":[0.9006609,0.001074391,0.08653712,0.0008607588,0.0001266075,0.0005024071,0.0008186126,0.0004839041,0.008935291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01862127,"threshold_uncertainty_score":0.06229436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05971000402951099,"score_gpt":0.3220980548546394,"score_spread":0.2623880508251284,"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."}}