{"id":"W7118160650","doi":"10.1145/3733802.3787510","title":"10.1145/3733802.3787510","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Key (lock); Session key; Component (thermodynamics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":["insufficient_payload"],"category_scores_codex":[0.002251651,0.004107186,0.002950537,0.003833053,0.002807808,0.005103151,0.003339709,0.006129662,0.9037994],"category_scores_gemma":[0.003861936,0.0022334,0.001547295,0.0114584,0.001765064,0.01331814,0.006480323,0.003398245,0.9353793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003095048,"about_ca_system_score_gemma":0.001330741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02095279,"about_ca_topic_score_gemma":0.01561621,"domain_scores_codex":[0.9988723,0.00009346844,0.0001050305,0.0002959292,0.0004142757,0.0002189516],"domain_scores_gemma":[0.9980199,0.0004631082,0.0001077514,0.0007607062,0.0003886508,0.0002597547],"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":[0.0003373428,0.0001801139,0.0006098562,0.000810253,0.0000642306,0.0002945461,0.0001278566,0.0009957395,0.001532537,0.009406569,0.6408616,0.3447793],"study_design_scores_gemma":[0.00003953795,0.00003834101,0.0008656616,0.0003004943,0.00005565746,0.0002046673,0.00007719451,0.001138426,0.0007138093,0.002380204,0.9941453,0.00004079831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003584852,0.01243986,0.02039174,0.002268614,0.002635339,0.0006665376,0.02758653,0.02458728,0.9058393],"genre_scores_gemma":[0.006363843,0.004946481,0.003540101,0.001070392,0.0002432842,0.0003054242,0.01529558,0.002999143,0.9652358],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09620059,"threshold_uncertainty_score":0.1372184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334302605865956,"score_gpt":0.2104595805543693,"score_spread":0.1971165544957098,"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."}}