{"id":"W7118170686","doi":"10.1145/3733802.3787512","title":"10.1145/3733802.3787512","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); Language model; Natural language","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":[0.002215773,0.004041323,0.002910888,0.003812356,0.00285065,0.005075814,0.003343946,0.006215682,0.9057278],"category_scores_gemma":[0.003996638,0.00227672,0.001555698,0.01143403,0.001755612,0.01327546,0.006371481,0.003321089,0.9364488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003004411,"about_ca_system_score_gemma":0.001312119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087716,"about_ca_topic_score_gemma":0.01572487,"domain_scores_codex":[0.9988857,0.0000917338,0.000104731,0.0002974969,0.0004043762,0.0002158803],"domain_scores_gemma":[0.9980302,0.0004705058,0.0001075007,0.0007429844,0.0003953279,0.0002533525],"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":[0.0003365023,0.0001705194,0.0005893725,0.0008079614,0.00006287125,0.000292142,0.0001275005,0.0009452658,0.001495405,0.009143819,0.6434577,0.342571],"study_design_scores_gemma":[0.00003924981,0.00003723206,0.0008572272,0.0003010735,0.00005527836,0.0002026676,0.00007652167,0.00105292,0.0006926137,0.002348976,0.9942954,0.00004079895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003433061,0.01212241,0.02019748,0.002213441,0.002544833,0.0006637006,0.02779827,0.02406096,0.9069659],"genre_scores_gemma":[0.006238665,0.004804646,0.003595251,0.001081359,0.000231153,0.0003104431,0.01525672,0.00305672,0.9654251],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0942722,"threshold_uncertainty_score":0.1344678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365918166285912,"score_gpt":0.2106854374410504,"score_spread":0.1970262557781913,"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."}}