{"id":"W2059472642","doi":"10.2481/dsj.5.143","title":"A hashing technique using separate binary tree","year":2006,"lang":"en","type":"article","venue":"Data Science Journal","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Scope (computer science); Usability; Data science; Metadata; Transparency (behavior); Data publishing; Implementation; World Wide Web; Publishing; Software engineering; Computer security; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.002588516,0.0001259706,0.0001264872,0.0003222381,0.001201362,0.001299588,0.006534043,0.0000371168,0.00001202778],"category_scores_gemma":[0.00004912259,0.00009739359,0.00002722336,0.001221676,0.0002285357,0.01226881,0.003068991,0.0003168499,0.00001534941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009391203,"about_ca_system_score_gemma":0.0005358025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001223061,"about_ca_topic_score_gemma":0.000005678585,"domain_scores_codex":[0.9978426,0.00004508674,0.0003027551,0.0005530382,0.0007848041,0.0004717178],"domain_scores_gemma":[0.998046,0.00002719993,0.0002136016,0.001441359,0.000106675,0.0001651312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001402931,0.0003265747,0.002089148,0.00001247582,0.00000922145,0.0008866977,0.0002461896,0.003949196,0.8668347,0.01081442,0.03874526,0.07607212],"study_design_scores_gemma":[0.0001825495,0.00004637907,0.002447165,0.00008131468,0.000004581583,0.002751757,0.00002367483,0.9755055,0.005683639,0.003290381,0.009747108,0.0002359116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02621412,0.0001254431,0.9719428,0.0002097897,0.0005360648,0.00008537449,0.0000266446,0.00007140768,0.0007883479],"genre_scores_gemma":[0.197221,0.00001573886,0.8021817,0.00009900163,0.0004082565,0.000001652107,0.00002195927,0.000007523606,0.00004315561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9715564,"threshold_uncertainty_score":0.9997371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05802956779394889,"score_gpt":0.3299944953690478,"score_spread":0.2719649275750989,"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."}}