{"id":"W2129647599","doi":"10.1145/2232817.2232852","title":"AckSeer","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Defense Advanced Research Projects Agency; U.S. Air Force; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration; U.S. Department of Energy; Office of the Dean for Research, Princeton University; National Science Foundation","keywords":"Computer science; Search engine indexing; Metadata; Information retrieval; Index (typography); Digital library; Gratitude; Information extraction; World Wide Web; Architecture","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":[0.004033694,0.001368514,0.001045038,0.0181552,0.001377477,0.006239157,0.001876862,0.001507672,0.1766693],"category_scores_gemma":[0.02992943,0.0005961975,0.0007234135,0.01480795,0.0005837568,0.009207159,0.004095051,0.001042783,0.1366068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009172807,"about_ca_system_score_gemma":0.002086539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001754078,"about_ca_topic_score_gemma":0.003092468,"domain_scores_codex":[0.9952812,0.0007018388,0.0007722683,0.0006339793,0.002371241,0.000239474],"domain_scores_gemma":[0.9710382,0.01005938,0.004922807,0.005006123,0.007166298,0.00180724],"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":[0.0002971338,0.00003813075,0.001411447,0.001847509,0.00004030195,0.0001935839,0.0003013734,0.0001966484,0.002036398,0.007460062,0.7589154,0.227262],"study_design_scores_gemma":[0.00002569671,0.00003603119,0.001198073,0.000236424,0.00001343619,0.0002168525,0.0001371934,0.0004837083,0.00168639,0.00220692,0.9937335,0.00002575917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01518702,0.01677597,0.0892698,0.006704552,0.006980689,0.001416781,0.380922,0.1670061,0.315737],"genre_scores_gemma":[0.0458211,0.008033125,0.1176475,0.002758679,0.003537272,0.0007564013,0.4655723,0.03526774,0.3206058],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8233307,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247314127565712,"score_gpt":0.2795252429542625,"score_spread":0.2670521016786053,"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."}}