{"id":"W2077110404","doi":"10.1145/2215676.2215680","title":"Report on BooksOnline'11","year":2012,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"City, University of London; Connaught Fund; University of Toronto; University of Twente","keywords":"Computer science; Crowdsourcing; Salient; Social media; Reading (process); Context (archaeology); Digital library; World Wide Web; Key (lock); Library science; Data science; Political science; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003257261,0.0001059127,0.0001278885,0.00008370599,0.0001052466,0.0000757836,0.001048844,0.00004361299,0.00002116364],"category_scores_gemma":[0.0002935911,0.00008769638,0.00008396918,0.0002188113,0.00001829793,0.0004879146,0.0004879901,0.0000835484,0.0003922529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001800944,"about_ca_system_score_gemma":0.00002237169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003637291,"about_ca_topic_score_gemma":0.000006715662,"domain_scores_codex":[0.9988751,0.00002110604,0.000182986,0.0002647025,0.0002363801,0.0004197646],"domain_scores_gemma":[0.9979935,0.00007985056,0.00008607814,0.001681303,0.00002572207,0.0001335137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007208618,0.0004848779,0.3818511,0.00001320356,0.0001219882,0.0002958003,0.0005785012,0.00003191938,0.0008304227,0.1098476,0.3390239,0.1669135],"study_design_scores_gemma":[0.0003094473,0.0001328524,0.02709548,0.00003531002,0.000038954,0.0002479192,0.00008485851,0.003290958,0.00681794,0.004223532,0.957189,0.0005337314],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6079904,0.0007544533,0.2831289,0.05524854,0.004075381,0.0002873762,0.00004353998,0.00165401,0.04681748],"genre_scores_gemma":[0.9670745,0.000003652102,0.02785509,0.001291859,0.0002209326,0.000005617936,0.00002352565,0.000008637664,0.003516236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6181651,"threshold_uncertainty_score":0.5041748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475597731603267,"score_gpt":0.2790317875960136,"score_spread":0.2542758102799809,"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."}}