{"id":"W2626183923","doi":"10.29173/cais431","title":"Development of Search Strategies for E-Referencer, an Expert System Web Interface to Online Catalogs","year":2013,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interface (matter); World Wide Web; Computer science; The Internet; Repertoire; User interface; Information retrieval; Expert system; Protocol (science); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0063837,0.0009381585,0.001073884,0.003792052,0.0007071276,0.003236494,0.002336391,0.001426214,0.01534726],"category_scores_gemma":[0.01550194,0.0008694789,0.0008453497,0.001467047,0.0005861969,0.005927292,0.001288921,0.001189547,0.01250197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057794,"about_ca_system_score_gemma":0.002355328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005037772,"about_ca_topic_score_gemma":0.004220188,"domain_scores_codex":[0.9969216,0.001107778,0.0004854969,0.0003281232,0.001026756,0.0001302234],"domain_scores_gemma":[0.9929015,0.002723274,0.0002334902,0.0007154267,0.003210458,0.0002157517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004669427,0.000684551,0.001926639,0.001570677,0.0001064057,0.0005241179,0.002911264,0.00488766,0.03917586,0.06402917,0.06465741,0.8190594],"study_design_scores_gemma":[0.0005533774,0.0007180385,0.00490998,0.0007280727,0.0002074411,0.00150913,0.001497937,0.1791716,0.1411638,0.01724227,0.651868,0.0004302433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01185441,0.0004683484,0.9155954,0.000467744,0.00007462145,0.00228356,0.00146367,0.04350875,0.02428345],"genre_scores_gemma":[0.03161836,0.0003295458,0.9433575,0.0002602193,0.0000219731,0.0009249629,0.003254933,0.003529997,0.01670255],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01534726,"threshold_uncertainty_score":0.05134171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05433573159351956,"score_gpt":0.298051891999035,"score_spread":0.2437161604055154,"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."}}