{"id":"W7154046087","doi":"10.1145/3772318.3809078","title":"10.1145/3772318.3809078","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Access Control and Trust","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Information privacy; Patient privacy; Privacy protection","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002163674,0.00007597335,0.0001134286,0.00003556509,0.0003081662,0.00008807555,0.0002886956,0.0000591313,0.996465],"category_scores_gemma":[0.00005602619,0.00007164859,0.00004809957,0.0002251526,0.00007453051,0.0001690432,0.00002095339,0.00006049046,0.9823961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003123421,"about_ca_system_score_gemma":0.00005542889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008099317,"about_ca_topic_score_gemma":0.00001677776,"domain_scores_codex":[0.9991387,0.00006372557,0.0001043545,0.0001584504,0.0002390423,0.0002957446],"domain_scores_gemma":[0.9995763,0.00005239495,0.00001871863,0.0001419616,0.00003802043,0.0001725645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002927013,0.00002527293,0.000002486349,8.28212e-7,0.000008412575,0.000004130865,0.0001974849,0.00001400499,0.000004051771,0.0001232663,0.07906215,0.9205287],"study_design_scores_gemma":[0.0001414164,0.000028368,0.0001467535,0.000003761118,0.000008393374,3.144533e-7,0.000009227307,0.00002972688,0.000003151288,0.00007247978,0.9994515,0.0001049257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001073894,0.000047953,7.796894e-7,0.001828972,0.00000487533,0.0001418971,0.000005062945,0.000136387,0.9967602],"genre_scores_gemma":[0.01338647,9.66124e-7,0.00003339712,0.0001658928,0.0003679974,0.0000136887,0.000002589313,0.000008917948,0.9860201],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9204237,"threshold_uncertainty_score":0.2921745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007098120862960807,"score_gpt":0.2205285132090493,"score_spread":0.2134303923460885,"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."}}