{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009328406,0.00003700043,0.00004321034,0.00003717346,0.00002072925,0.00001930652,0.0003282681,0.00001475242,0.0000387025],"category_scores_gemma":[0.000009125703,0.00002854723,0.00002612761,0.0001733398,0.000007930564,0.0007958041,0.0001249692,0.00002826831,0.0003087156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001025996,"about_ca_system_score_gemma":0.000002822917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002288561,"about_ca_topic_score_gemma":7.938406e-7,"domain_scores_codex":[0.9996316,0.0000078658,0.00005270079,0.00007393778,0.0000840073,0.0001498213],"domain_scores_gemma":[0.9996067,0.00001368088,0.00001420615,0.0003108513,0.00001695146,0.00003755651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[1.447299e-7,0.00003682125,0.003754298,6.659432e-7,0.000006146675,5.083197e-7,0.0001266057,7.401913e-7,0.007979497,0.9111002,0.007689648,0.06930472],"study_design_scores_gemma":[0.0001179875,0.00002454409,0.006241913,0.000003112489,0.000007042586,0.00001551532,0.0000153392,0.006699894,0.4648974,0.05863995,0.4629458,0.000391537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001022082,0.0000505967,0.9338763,0.0002184569,0.00004063026,0.00001762374,1.83014e-8,0.0004674597,0.06430685],"genre_scores_gemma":[0.5993162,0.000001323258,0.3992496,0.0004043526,0.00002535883,0.000002627292,7.584565e-8,0.000001482028,0.0009990172],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8524603,"threshold_uncertainty_score":0.3968018,"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."}}