{"id":"W7118205071","doi":"10.1145/3733816.3787509","title":"10.1145/3733816.3787509","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Information privacy; Confidentiality; Key (lock)","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":[0.002029643,0.003241799,0.002335969,0.003217538,0.002818763,0.005114583,0.003084787,0.005826842,0.9336516],"category_scores_gemma":[0.004153835,0.001899584,0.001332304,0.009738767,0.001628582,0.01271667,0.006656667,0.002875782,0.9640839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002562578,"about_ca_system_score_gemma":0.001202073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01721832,"about_ca_topic_score_gemma":0.01277546,"domain_scores_codex":[0.9990475,0.00007593352,0.00007931353,0.0002768739,0.0003389084,0.0001815063],"domain_scores_gemma":[0.9981007,0.000437672,0.00009516224,0.0006600411,0.0004001505,0.0003063294],"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":[0.0002203361,0.0001632649,0.0005737881,0.000604477,0.0000459763,0.0002209718,0.0001238941,0.0005843575,0.001048906,0.008389788,0.6918461,0.2961781],"study_design_scores_gemma":[0.00002962725,0.00002693068,0.0007161008,0.0002558977,0.00003989806,0.0001652612,0.0000750965,0.0006202598,0.0004275246,0.001765897,0.995845,0.00003245877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002075329,0.006495981,0.01198693,0.001841499,0.002133472,0.0004543438,0.01734161,0.01561304,0.9420578],"genre_scores_gemma":[0.004729216,0.003107754,0.002554553,0.0009075528,0.0002203024,0.0002408004,0.01055295,0.00216727,0.9755197],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06634837,"threshold_uncertainty_score":0.09463793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0147290958702455,"score_gpt":0.2443160921954544,"score_spread":0.229586996325209,"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."}}