{"id":"W2059882478","doi":"10.1145/1394251.1394268","title":"The Fourth Asian Information Retrieval Symposium (AIRS 08)","year":2008,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Beijing; Computer science; China; Library science; TRACE (psycholinguistics); Information retrieval; History; Linguistics","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":[0.01497614,0.001525148,0.003031198,0.004672792,0.002121445,0.01144474,0.002093751,0.003214412,0.09920398],"category_scores_gemma":[0.008991472,0.0005429302,0.001440563,0.003209014,0.001263843,0.009094774,0.003564499,0.003743274,0.1242103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042768,"about_ca_system_score_gemma":0.004574518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002914817,"about_ca_topic_score_gemma":0.006071456,"domain_scores_codex":[0.9945227,0.001251213,0.0005514252,0.0005689744,0.002499551,0.0006061531],"domain_scores_gemma":[0.9872615,0.001024081,0.000471952,0.001330473,0.007625957,0.002285991],"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":[0.0001259808,0.0001006977,0.0004992754,0.0002515624,0.00002889839,0.00009650175,0.0001276427,0.00006292197,0.002315975,0.001319054,0.8579493,0.1371221],"study_design_scores_gemma":[0.00002173028,0.0001006322,0.001361471,0.000185717,0.0000351046,0.0002206073,0.0001979808,0.0007072388,0.001502564,0.001253764,0.9943808,0.00003251858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03026334,0.1703035,0.1012723,0.0922255,0.2404545,0.001954038,0.01716498,0.01940951,0.3269523],"genre_scores_gemma":[0.03492339,0.04920056,0.05247125,0.01267901,0.03237925,0.0008335001,0.03009142,0.003741863,0.7836798],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09920398,"threshold_uncertainty_score":0.3318704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092372813899535,"score_gpt":0.2161340161244162,"score_spread":0.2052102879854209,"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."}}