{"id":"W7117988608","doi":"10.1145/3769694.3787142","title":"10.1145/3769694.3787142","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Information and Cyber Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Session key; Component (thermodynamics); Training (meteorology)","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":[0.001844829,0.004106293,0.002912828,0.00338027,0.003183602,0.005386,0.003244643,0.006155097,0.9436808],"category_scores_gemma":[0.003508776,0.002303394,0.001514132,0.01061557,0.001734773,0.01309952,0.006683534,0.003285977,0.9653177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002770728,"about_ca_system_score_gemma":0.001285432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212179,"about_ca_topic_score_gemma":0.01541046,"domain_scores_codex":[0.9991711,0.00005300473,0.00007083061,0.0002539362,0.0002741353,0.0001768466],"domain_scores_gemma":[0.9982767,0.0003731954,0.0000894537,0.0005997464,0.0003714608,0.0002894021],"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":[0.0002558037,0.0001770955,0.0005437309,0.000634219,0.00004968205,0.0002177319,0.0001109991,0.0007013047,0.001173218,0.006853469,0.6769407,0.3123421],"study_design_scores_gemma":[0.00003468956,0.00003356007,0.0007438488,0.0002568728,0.00004383697,0.0001591688,0.00006781629,0.0006376723,0.0004614121,0.001372247,0.9961557,0.00003320292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002190219,0.006970854,0.009857274,0.001550279,0.00230651,0.0004635506,0.01751366,0.01600832,0.9431392],"genre_scores_gemma":[0.003688021,0.002748908,0.00169148,0.0007413659,0.0001769951,0.000197995,0.009359075,0.00227159,0.9791246],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05631918,"threshold_uncertainty_score":0.08033246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004704768384604512,"score_gpt":0.1714889205973869,"score_spread":0.1667841522127824,"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."}}