{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006703279,0.001311554,0.001006157,0.003735167,0.004913335,0.018409,0.003601164,0.00586914,0.5611682],"category_scores_gemma":[0.01302159,0.000660293,0.001301376,0.004205533,0.0009270126,0.00688971,0.008681709,0.005603347,0.4270426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003776052,"about_ca_system_score_gemma":0.009936724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094315,"about_ca_topic_score_gemma":0.01762899,"domain_scores_codex":[0.9917573,0.0006630439,0.0003147604,0.0007352734,0.005199646,0.001330039],"domain_scores_gemma":[0.9861645,0.001314567,0.0003996644,0.001552606,0.00629771,0.004270902],"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":[0.00008775898,0.0000493795,0.0002545345,0.0001310569,0.000003968634,0.00008785948,0.00009383433,0.00002791012,0.0002639873,0.002308366,0.9825675,0.01412388],"study_design_scores_gemma":[0.000004264981,0.0000173261,0.0005531255,0.00003590682,0.000001405959,0.0000154442,0.0001243422,0.0000115508,0.0001419692,0.0001137084,0.9989759,0.000005079229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004182182,0.004713701,0.002214641,0.03303844,0.07530647,0.001389299,0.054094,0.003104068,0.8219572],"genre_scores_gemma":[0.003497483,0.001063297,0.0004538434,0.002904592,0.002293969,0.0004740373,0.01498991,0.001030741,0.9732921],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5611682,"threshold_uncertainty_score":0.6259403,"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."}}